ECCV 2018 完整論文集 -- List & 下載下傳連結

下文清單為ECCV2018官網得到了今年接收論文清單，共779篇：

下文為ECCV2018的全部接收論文彙總

Oral:

Convolutional Networks with Adaptive Computation Graphs

Progressive Neural Architecture Search

Diverse Image-to-Image Translation via Disentangled Representations

Lifting Layers: Analysis and Applications

Learning with Biased Complementary Labels

Light Structure from Pin Motion: Simple and Accurate Point Light Calibration for Physics-based Modeling

Programmable Light Curtains

Learning to Separate Object Sounds by Watching Unlabeled Video

Coded Two-Bucket Cameras for Computer Vision authorr

Materials for Masses: SVBRDF Acquisition with a Single Mobile Phone Image

End-to-End Joint Semantic Segmentation of Actors and Actions in Video

Learning-based Video Motion Magnification

Massively Parallel Video Networks

DeepWrinkles: Accurate and Realistic Clothing Modeling

Learning Discriminative Video Representations Using Adversarial Perturbations

Scaling Egocentric Vision: The EPIC-KITCHENS Dataset

Unsupervised Person Re-identification by Deep Learning Tracklet Association

Predicting Gaze in Egocentric Video by Learning Task-dependent Attention Transition

Instance-level Human Parsing via Part Grouping Network

Adversarial Geometry-Aware Human Motion Prediction

Weakly-supervised 3D Hand Pose Estimation from Monocular RGB Images

Audio-Visual Scene Analysis with Self-Supervised Multisensory Features

Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input

DeepIM: Deep Iterative Matching for 6D Pose Estimation

Implicit 3D Orientation Learning for 6D Object Detection from RGB Images

Direct Sparse Odometry With Rolling Shutter

3D Motion Sensing from 4D Light Field Gradients

A Style-Aware Content Loss for Real-time HD Style Transfer

Scale-Awareness of Light Field Camera based Visual Odometry

Burst Image Deblurring Using Permutation Invariant Convolutional Neural Networks

MVSNet: Depth Inference for Unstructured Multi-view Stereo

PlaneMatch: Patch Coplanarity Prediction for Robust RGB-D Registration

Active Stereo Net: End-to-End Self-Supervised Learning for Active Stereo Systems, &website

GAL: Geometric Adversarial Loss for Single-View 3D-Object Reconstruction

Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry

Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation

Dual-Agent Deep Reinforcement Learning for Deformable Face Tracking

Deep Autoencoder for Combined Human Pose Estimation and Body Model Upscaling

Occlusion-aware Hand Pose Estimation Using Hierarchical Mixture Density Network

GANimation: Anatomically-aware Facial Animation from a Single Image

Deterministic Consensus Maximization with Biconvex Programming

Robust fitting in computer vision: easy or hard?

Highly-Economized Multi-View Binary Compression for Scalable Image Clustering

Efficient Semantic Scene Completion Network with Spatial Group Convolution

Asynchronous, Photometric Feature Tracking using Events and Frames

Group Normalization

Deep Matching Autoencoder

Deep Expander Networks: Efficient Deep Networks from Graph Theory

Towards Realistic Predictors

Learning SO(3) Equivariant Representations with Spherical CNNs

CornerNet: Detecting Objects as Paired Keypoints

RelocNet: Continous Metric Learning Relocalisation using Neural Nets

The Contextual Loss for Image Transformation with Non-Aligned Data

Acquisition of Localization Confidence for Accurate Object Detection

Deep Model-Based 6D Pose Refinement in RGB

DeepTAM: Deep Tracking and Mapping

ContextVP: Fully Context-Aware Video Prediction

Saliency Benchmarking Made Easy: Separating Models, Maps and Metrics

Museum Exhibit Identification Challenge for the Supervised Domain Adaptation.

Multi-Attention Multi-Class Constraint for Fine-grained Image Recognition

Poster

Semi-convolutional Operators for Instance Segmentation

Learnable PINs: Cross-Modal Embeddings for Person Identity

Learning-based Video Motion Magnification

Video Object Segmentation with Joint Re-identification and Attention-Aware Mask Propagation

CBAM: Convolutional Block Attention Module

BodyNet: Volumetric Inference of 3D Human Body Shapes

CNN-PS: CNN-based Photometric Stereo for General Non-Convex Surfaces

Spatio-temporal Transformer Network for Video Restoration

PS-FCN: A Flexible Learning Framework for Photometric Stereo

Dynamic Conditional Networks for Few-Shot Learning

Deep Factorised Inverse-Sketching

Separating Reflection and Transmission Images in the Wild

Ask, Acquire, and Attack: Data-free UAP Generation using Class Impressions

Rendering Portraitures from Monocular Camera and Beyond

Object Level Visual Reasoning in Videos

Dense Pose Transfer

Skeleton-Based Action Recognition with Spatial Reasoning and Temporal Stack Learning

Learning to Segment via Cut-and-Paste

Deep Boosting for Image Denoising

Fictitious GAN: Training GANs with Historical Models

Self-Supervised Relative Depth Learning for Urban Scene Understanding

Look Deeper into Depth: Monocular Depth Estimation with Semantic Booster and Attention-Driven Loss

Bi-box Regression for Pedestrian Detection and Occlusion Estimation

C-WSL: Count-guided Weakly Supervised Localization

Convolutional Networks with Adaptive Inference Graphs

Summarizing First-Person Videos from Third Persons’ Points of View

Programmable Triangulation Light Curtains

Learning Single-View 3D Reconstruction with Limited Pose Supervision

Maximum Margin Metric Learning Over Discriminative Nullspace for Person Re-identification

Snap Angle Prediction for 360° Panoramas

Memory Aware Synapses: Learning what (not) to forget

Learning to Zoom: a Saliency-Based Sampling Layer for Neural Networks

Weakly- and Semi-Supervised Panoptic Segmentation

K-convexity shape priors for segmentation

Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images

Boosted Attention: Leveraging Human Attention for Image Captioning

Incremental Multi-graph Matching via Diversity and Randomness based Graph Clustering

Multi-view to Novel view: Synthesizing novel views with Self-Learned Confidence

Making Deep Heatmaps Robust to Partial Occlusions for 3D Object Pose Estimation

Image Inpainting for Irregular Holes Using Partial Convolutions

Audio-Visual Scene Analysis with Self-Supervised Multisensory Features

Fighting Fake News: Image Splice Detection via Learned Self-Consistency

End-to-End Joint Semantic Segmentation of Actors and Actions in Video

Visual Text Correction

Deep Co-Training for Semi-Supervised Image Recognition

Progressive Neural Architecture Search

Explainable Neural Computation via Stack Neural Module Networks

Attributes as Operators: Factorizing Unseen Attribute-Object Compositions

Scalable Exemplar-based Subspace Clustering on Class-Imbalanced Data

RCAA: Relational Context-Aware Agents for Person Search

Product Quantization Network for Fast Image Retrieval

Hand Pose Estimation via Latent 2.5D Heatmap Regression

Multimodal Unsupervised Image-to-image Translation

Depth-aware CNN for RGB-D Segmentation

Visual Coreference Resolution in Visual Dialog using Neural Module Networks

Learning Blind Video Temporal Consistency

Diverse Image-to-Image Translation via Disentangled Representations

Learning to Blend Photos

Switchable Temporal Propagation Network

Deeply Learned Compositional Models for Human Pose Estimation

Unsupervised Video Object Segmentation with Motion-based Bilateral Networks

CornerNet: Detecting Objects as Paired Keypoints

Unsupervised holistic image generation from key local patches

Group Normalization

Generalizing A Person Retrieval Model Hetero- and Homogeneously

CAR-Net: Clairvoyant Attentive Recurrent Network

Cross-Modal Hamming Hashing

PlaneMatch: Patch Coplanarity Prediction for Robust RGB-D Reconstruction

DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency

Distractor-aware Siamese Networks for Visual Object Tracking

Propagating LSTM: 3D Pose Estimation based on Joint Interdependency

Deep Video Quality Assessor: From Spatio-temporal Visual Sensitivity to A Convolutional Neural Aggregation Network

Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground

Face Recognition with Contrastive Convolution

Monocular Depth Estimation with Affinity, Vertical Pooling, and Label Enhancement

Domain Adaptation through Synthesis for Unsupervised Person Re-identification

Adding Attentiveness to the Neurons in Recurrent Neural Networks

Neural Stereoscopic Image Style Transfer

Learning Dynamic Memory Networks for Object Tracking

Gray-box Adversarial Training

GeoDesc: Learning Local Descriptors by Integrating Geometry Constraints

Unsupervised Image-to-Image Translation with Stacked Cycle-Consistent Adversarial Networks

Light Structure from Pin Motion: Simple and Accurate Point Light Calibration for Physics-based Modeling

Find and Focus: Retrieve and Localize Video Events with Natural Language Queries

Evaluating Capability of Deep Neural Networks for Image Classification via Information Plane

Super-Identity Convolutional Neural Network for Face Hallucination

SOD-MTGAN: Small Object Detection via Multi-Task Generative Adversarial Network

Face Super-resolution Guided by Facial Component Heatmaps

ML-LocNet: Improving Object Localization with Multi-view Learning Network

Facial Expression Recognition with Inconsistently Annotated Datasets

Visual Question Answering as a Meta Learning Task

Deformable Pose Traversal Convolution for 3D Action and Gesture Recognition

Semi-Dense 3D Reconstruction with a Stereo Event Camera

What do I Annotate Next? An Empirical Study of Active Learning for Action Localization

HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning

Self-Calibrating Isometric Non-Rigid Structure-from-Motion

Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields

Reverse Attention for Salient Object Detection

Action Search: Spotting Actions in Videos and Its Application to Temporal Action Localization

Diagnosing Error in Temporal Action Detectors

Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation

Massively Parallel Video Networks

Transductive Centroid Projection for Semi-supervised Large-scale Recognition

PSANet: Point-wise Spatial Attention Network for Scene Parsing

Robust Anchor Embedding for Unsupervised Video Person Re-Identification in the Wild

Semi-Supervised Deep Learning with Memory

Towards End-to-End License Plate Detection and Recognition: A Large Dataset and Baseline

Repeatability Is Not Enough: Learning Affine Regions via Discriminability

Learning Warped Guidance for Blind Face Restoration

Compressing the Input for CNNs with the First-Order Scattering Transform

Face De-Spoofing: Anti-Spoofing via Noise Modeling

Faces as Lighting Probes via Unsupervised Deep Highlight Extraction

Unsupervised Hard Example Mining from Videos for Improved Object Detection

On Offline Evaluation of Vision-based Driving Models

Deep Fundamental Matrix Estimation

ContextVP: Fully Context-Aware Video Prediction

Visual Psychophysics for Making Face Recognition Algorithms More Explainable

TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild

Holistic 3D Scene Parsing and Reconstruction from a Single RGB Image

Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model

Improved Structure from Motion Using Fiducial Marker Matching

Conditional Prior Networks for Optical Flow

Unsupervised Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training

DetNet: Design Backbone for Object Detection

BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation

HairNet: Single-View Hair Reconstruction using Convolutional Neural Networks

Neural Network Encapsulation

Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph Generation

Multi-Fiber Networks for Video Recognition

Towards Human-Level License Plate Recognition

Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognition

Generalized Loss-Sensitive Adversarial Learning with Manifold Margins

Pose Proposal Networks

Less is More: Picking Informative Frames for Video Captioning

Robust Optical Flow in Rainy Scenes

Into the Twilight Zone: Depth Estimation using Joint Structure-Stereo Optimization

Structured Siamese Network for Real-Time Visual Tracking

Associating Inter-Image Salient Instances for Weakly Supervised Semantic Segmentation

Learning Deep Representations with Probabilistic Knowledge Transfer

Recycle-GAN: Unsupervised Video Retargeting

Escaping from Collapsing Modes in a Constrained Space

Integrating Egocentric Videos in Top-view Surveillance Videos: Joint Identification and Temporal Alignment

Cross-Modal and Hierarchical Modeling of Video and Text

Tackling 3D ToF Artifacts Through Learning and the FLAT Dataset

Visual-Inertial Object Detection and Mapping

Zero-Shot Object Detection

Tracking Emerges by Colorizing Videos

Actor-centric Relation Network

Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification

SkipNet: Learning Dynamic Routing in Convolutional Networks

Quantized Densely Connected U-Nets for Efficient Landmark Localization

Person Search in Videos with One Portrait Through Visual and Temporal Links

HybridFusion: Real-Time Performance Capture Using a Single Depth Sensor and Sparse IMUs

Variational Wasserstein Clustering

A Modulation Module for Multi-task Learning with Applications in Image Retrieval

Learning Human-Object Interactions by Graph Parsing Neural Networks

Show, Tell and Discriminate: Image Captioning by Self-retrieval with Partially Labeled Data

Decouple Learning for Parameterized Image Operators

Grassmann Pooling as Compact Homogeneous Bilinear Pooling for Fine-Grained Visual Classification

Liquid Pouring Monitoring via Rich Sensory Inputs

Leveraging Motion Priors in Videos for Improving Human Segmentation

Triplet Loss in Siamese Network for Object Tracking

Macro-Micro Adversarial Network for Human Parsing

Contour Knowledge Transfer for Salient Object Detection

Point-to-Point Regression PointNet for 3D Hand Pose Estimation

Fine-grained Video Categorization with Redundancy Reduction Attention

Analyzing Clothing Layer Deformation Statistics of 3D Human Motions

DOCK: Detecting Objects by transferring Common-sense Knowledge

Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining

Multi-Scale Spatially-Asymmetric Recalibration for Image Classification

Fast and Accurate Intrinsic Symmetry Detection

Open Set Domain Adaptation by Backpropagation

Choose Your Neuron: Incorporating Domain Knowledge through Neuron-Importance

CGIntrinsics: Better Intrinsic Image Decomposition through Physically-Based Rendering

Stereo Computation for a Single Mixture Image

Objects that Sound

Iterative Crowd Counting

Weakly Supervised Region Proposal Network and Object Detection

Image Super-Resolution Using Very Deep Residual Channel Attention Networks

Dividing and Aggregating Network for Multi-view Action Recognition

Layer-structured 3D Scene Inference via View Synthesis

Deblurring Natural Image Using Super-Gaussian Fields

Learning Category-Specific Mesh Reconstruction from Image Collections

Selective Zero-Shot Classification with Augmented Attributes

Real-time ‘Actor-Critic’ Tracking

Zero-Annotation Object Detection with Web Knowledge Transfer

Question-Guided Hybrid Convolution for Visual Question Answering

Fully Motion-Aware Network for Video Object Detection

Learning to Forecast and Refine Residual Motion for Image-to-Video Generation

Geometric Constrained Joint Lane Segmentation and Lane Boundary Detection

Deterministic Consensus Maximization with Biconvex Programming

Lifting Layers: Analysis and Applications

Simultaneous Edge Alignment and Learning

Deep Feature Pyramid Reconfiguration for Object Detection

Unpaired Image Captioning by Language Pivoting

Goal-Oriented Visual Question Generation via Intermediate Rewards

Modeling Varying Camera-IMU Time Offset in Optimization-Based Visual-Inertial Odometry

Teaching Machines to Understand Baseball Games: Large-Scale Baseball Video Database for Multiple Video Understanding Tasks

Receptive Field Block Net for Accurate and Fast Object Detection

DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model

Deep Bilinear Learning for RGB-D Action Recognition

RelocNet: Continuous Metric Learning Relocalisation using Neural Nets

Generative Semantic Manipulation with Mask-Contrasting GAN

Interpolating Convolutional Neural Networks Using Batch Normalization

SketchyScene: Richly-Annotated Scene Sketches

An Adversarial Approach to Hard Triplet Generation

Toward Characteristic-Preserving Image-based Virtual Try-On Network

Estimating the Success of Unsupervised Image to Image Translation

SphereNet: Learning Spherical Representations for Detection and Classification in Omnidirectional Images

Efficient Uncertainty Estimation for Semantic Segmentation in Videos

Deep Cross-modality Adaptation via Semantics Preserving Adversarial Learning for Sketch-based 3D Shape Retrieval

Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: the Benefit of Target Expectation Maximization

ICNet for Real-Time Semantic Segmentation on High-Resolution Images

Parallel Feature Pyramid Network for Object Detection

MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network

Deep Directional Statistics: Pose Estimation with Uncertainty Quantification

Person Search by Multi-Scale Matching

Learn-to-Score: Efficient 3D Scene Exploration by Predicting View Utility

Joint Representation and Truncated Inference Learning for Correlation Filter based Tracking

TS2C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection

Hierarchy of Alternating Specialists for Scene Recognition

Revisiting RCNN: On Awakening the Classification Power of Faster RCNN

A Hybrid Model for Identity Obfuscation by Face Replacement

3D Scene Flow from 4D Light Field Gradients

RIDI: Robust IMU Double Integration

Superpixel Sampling Networks

Towards Robust Neural Networks via Random Self-ensemble

The Sound of Pixels

Adaptive Affinity Fields for Semantic Segmentation

Joint Map and Symmetry Synchronization

EC-Net: an Edge-aware Point set Consolidation Network

ReenactGAN: Learning to Reenact Faces via Boundary Transfer

Semi-Supervised Generative Adversarial Hashing for Image Retrieval

Training Binary Weight Networks via Semi-Binary Decomposition

Part-Activated Deep Reinforcement Learning for Action Prediction

Learning to Anonymize Faces for Privacy Preserving Action Detection

Lifelong Learning via Progressive Distillation and Retrospection

Focus, Segment and Erase: An Efficient Network for Multi-Label Brain Tumor Segmentation

Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition

A Closed-form Solution to Photorealistic Image Stylization

MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics

3D Recurrent Neural Networks with Context Fusion for Point Cloud Semantic Segmentation

Rethinking the Form of Latent States in Image Captioning

Move Forward and Tell: A Progressive Generator of Video Descriptions

Joint Person Segmentation and Identification in Synchronized First- and Third-person Videos

Transductive Semi-Supervised Deep Learning using Min-Max Features

SAN: Learning Relationship between Convolutional Features for Multi-Scale Object Detection

Visual Tracking via Spatially Aligned Correlation Filters Network

Predicting Future Instance Segmentation by Forecasting Convolutional Features

MVSNet: Depth Inference for Unstructured Multi-view Stereo

Learning Monocular Depth by Distilling Cross-domain Stereo Networks

Person Re-identification with Deep Similarity-Guided Graph Neural Network

Learning and Matching Multi-View Descriptors for Registration of Point Clouds

Flow-Grounded Spatial-Temporal Video Prediction from Still Images

The Contextual Loss for Image Transformation with Non-Aligned Data

Online Dictionary Learning for Approximate Archetypal Analysis

Video Object Segmentation by Learning Location-Sensitive Embeddings

Hashing with Binary Matrix Pursuit

Learning to Capture Light Fields through a Coded Aperture Camera

Learning to Reconstruct High-quality 3D Shapes with Cascaded Fully Convolutional Networks

X2Face: A network for controlling face generation using images, audio, and pose codes

End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners

Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding

DPP-Net: Device-aware Progressive Search for Pareto-optimal Neural Architectures

Revisiting Autofocus for Smartphone Cameras

Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence

A Dataset of Flash and Ambient Illumination Pairs from the Crowd

Deep Burst Denoising

MaskConnect: Connectivity Learning by Gradient Descent

ISNN: Impact Sound Neural Network for Audio-Visual Object Classification

Dependency-aware Attention Control for Unconstrained Face Recognition with Image Sets

StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth Prediction

Compositing-aware Image Search

Online Multi-Object Tracking with Dual Matching Attention Networks

Improving Sequential Determinantal Point Processes for Supervised Video Summarization

Online Detection of Action Start in Untrimmed, Streaming Videos

Volumetric performance capture from minimal camera viewpoints

Coreset-Based Neural Network Compression

A Framework for Evaluating 6-DOF Object Trackers

Learning to Separate Object Sounds by Watching Unlabeled Video

Connecting Gaze, Scene, and Attention: Generalized Attention Estimation via Joint Modeling of Gaze and Scene Saliency

Neural Graph Matching Networks for Fewshot 3D Action Recognition

Temporal Modular Networks for Retrieving Complex Compositional Activities in Videos

Attention-aware Deep Adversarial Hashing for Cross-Modal Retrieval

3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration

Meta-Tracker: Fast and Robust Online Adaptation for Visual Object Trackers

Variable Ring Light Imaging: Capturing Transient Subsurface Scattering with An Ordinary Camera

Graph R-CNN for Scene Graph Generation

Deep Domain Generalization via Conditional Invariant Adversarial Networks

Using LIP to Gloss Over Faces in Single-Stage Face Detection Networks

Pose-Normalized Image Generation for Person Re-identification

Videos as Space-Time Region Graphs

Learning 3D Human Pose from Structure and Motion

Deep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment

HiDDeN: Hiding Data with Deep Networks

Deep Cross-Modal Projection Learning for Image-Text Matching

Large Scale Urban Scene Modeling from MVS Meshes

Dual-Agent Deep Reinforcement Learning for Deformable Face Tracking

Unified Perceptual Parsing for Scene Understanding

Multimodal Dual Attention Memory for Video Story Question Answering

Deep Reinforcement Learning with Iterative Shift for Visual Tracking

Collaborative Deep Reinforcement Learning for Multi-Object Tracking

Deep Variational Metric Learning

A Joint Sequence Fusion Model for Video Question Answering and Retrieval

Deep Pictorial Gaze Estimation

PSDF Fusion: Probabilistic Signed Distance Function for On-the-fly 3D Data Fusion and Scene Reconstruction

Multi-Scale Context Intertwining for Semantic Segmentation

Learning to Fuse Proposals from Multiple Scanline Optimizations in Semi-Global Matching

Saliency Detection in 360° Videos

Scaling Egocentric Vision: The EPIC-KITCHENS Dataset

AugGAN: Cross Domain Adaptation with GAN-based Data Augmentation

Incremental Non-Rigid Structure-from-Motion with Unknown Focal Length

Dynamic Multimodal Instance Segmentation Guided by Natural Language Queries

Graininess-Aware Deep Feature Learning for Pedestrian Detection

Acquisition of Localization Confidence for Accurate Object Detection

Learning Shape Priors for Single-View 3D Completion and Reconstruction

R2P2: A ReparameteRized Pushforward Policy for Diverse, Precise Generative Path Forecasting

Synthetically Supervised Feature Learning for Scene Text Recognition

Localization Recall Precision (LRP): A New Performance Metric for Object Detection

Second-order Democratic Aggregation

Lip Movements Generation at a Glance

Probabilistic Video Generation using Holistic Attribute Control

AGIL: Learning Attention from Human for Visuomotor Tasks

Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd

Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery

Seeing Tree Structure from Vibration

Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation

HGMR: Hierarchical Gaussian Mixtures for Adaptive 3D Registration

Deep Imbalanced Attribute Classification using Visual Attention Aggregation

Cross-Modal Ranking with Soft Consistency and Noisy Labels for Robust RGB-T Tracking

Shift-Net: Image Inpainting via Deep Feature Rearrangement

Small-scale Pedestrian Detection Based on Topological Line Localization and Temporal Feature Aggregation

Sub-GAN: An Unsupervised Generative Model via Subspaces

VQA-E: Explaining, Elaborating, and Enhancing Your Answers for Visual Questions

Penalizing Top Performers: Conservative Loss for Semantic Segmentation Adaptation

Interactive Boundary Prediction for Object Selection

Dilated Pyramid Convolution and Deeper Bidirectional ConvLSTM for Video Salient Object Detection

CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving

The Devil of Face Recognition is in the Noise

Where Will They Go? Predicting Fine-Grained Adversarial Multi-Agent Motion using Conditional Variational Autoencoders

Bi-Real Net: Enhancing the Performance of 1-bit CNNs with Improved Representational Capability and Advanced Training Algorithm

X-ray Computed Tomography Through Scatter

Shape Reconstruction Using Volume Sweeping and Learned Photoconsistency

Unsupervised CNN-based Co-Saliency Detection with Graphical Optimization

Unsupervised Person Re-identification by Deep Learning Tracklet Association

Seeing Deeply and Bidirectionally: A Deep Learning Approach for Single Image Reflection Removal

Learning Data Terms for Non-blind Deblurring

Mutual Learning to Adapt for Joint Human Parsing and Pose Estimation

Statistically-motivated Second-order Pooling

Video Re-localization

Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition

Long-term Tracking in the Wild: a Benchmark

Affinity Derivation and Graph Merge for Instance Segmentation

Deep Model-Based 6D Pose Refinement in RGB

Zero-Shot Deep Domain Adaptation

Comparator Networks

Deep Regionlets for Object Detection

DCAN: Dual Channel-wise Alignment Networks for Unsupervised Scene Adaptation

Generating 3D Faces using Convolutional Mesh Autoencoders

ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking

Physical Primitive Decomposition

Inner Space Preserving Generative Pose Machine

Perturbation Robust Representations of Topological Persistence Diagrams

Hierarchical Relational Networks for Group Activity Recognition and Retrieval

Attention-based Ensemble for Deep Metric Learning

Neural Procedural Reconstruction for Residential Buildings

PyramidBox: A Context-assisted Single Shot Face Detector

Predicting Gaze in Egocentric Video by Learning Task-dependent Attention Transition

Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes

Broadcasting Convolutional Network for Visual Relational Reasoning

Improving Spatiotemporal Self-Supervision by Deep Reinforcement Learning

View-graph Selection Framework for SfM

DFT-based Transformation Invariant Pooling Layer for Visual Classification

Learning Compression from Limited Unlabeled Data

Bayesian Semantic Instance Segmentation in Open Set World

BOP: Benchmark for 6D Object Pose Estimation

3D Vehicle Trajectory Reconstruction in Monocular Video Data Using Environment Structure Constraints

Appearance-Based Gaze Estimation via Evaluation-Guided Asymmetric Regression

Discriminative Region Proposal Adversarial Networks for High-Quality Image-to-Image Translation

SegStereo: Exploiting Semantic Information for Disparity Estimation

ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design

Deep Attention Neural Tensor Network for Visual Question Answering

Pairwise Body-Part Attention for Recognizing Human-Object Interactions

Deep Clustering for Unsupervised Learning of Visual Features

Shuffle-Then-Assemble: Learning Object-Agnostic Visual Relationship Features

Learning to Look around Objects for Top-View Representations of Outdoor Scenes

Uncertainty Estimates and Multi-Hypotheses Networks for Optical Flow

Normalized Blind Deconvolution

Selfie Video Stabilization

CubeNet: Equivariance to 3D Rotation and Translation

Improving Generalization via Scalable Neighborhood Component Analysis

Combining 3D Model Contour Energy and Keypoints for Object Tracking

Unsupervised Video Object Segmentation using Motion Saliency-Guided Spatio-Temporal Propagation

Pairwise Confusion for Fine-Grained Visual Classification

Modular Generative Adversarial Networks

Simultaneous 3D Reconstruction for Water Surface and Underwater Scene

Temporal Relational Reasoning in Videos

YouTube-VOS: Sequence-to-Sequence Video Object Segmentation

Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input

Women also Snowboard: Overcoming Bias in Captioning Models

Graph Distillation for Action Detection with Privileged Modalities

Hierarchical Metric Learning and Matching for 2D and 3D Geometric Correspondences

Proximal Dehaze-Net: A Prior Learning-Based Deep Network for Single Image Dehazing

Deep Component Analysis via Alternating Direction Neural Networks

SDC-Net: Video prediction using spatially-displaced convolution

Exploiting temporal information for 3D human pose estimation

Joint Camera Spectral Sensitivity Selection and Hyperspectral Image Recovery

ADVISE: Symbolism and External Knowledge for Decoding Advertisements

Person Search via A Mask-guided Two-stream CNN Model

GridFace: Face Rectification via Learning Local Homography Transformations

Weakly-supervised Video Summarization using Variational Encoder-Decoder and Web Prior

Compound Memory Networks for Few-shot Video Classification

Contextual-based Image Inpainting: Infer, Match, and Translate

Interpretable Intuitive Physics Model

Polarimetric Three-View Geometry

Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation

Weakly-supervised 3D Hand Pose Estimation from Monocular RGB Images

T2Net: Synthetic-to-Realistic Translation for Solving Single-Image Depth Estimation Tasks

Instance-level Human Parsing via Part Grouping Network

TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes

PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors

Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association

AMC: AutoML for Model Compression and Acceleration on Mobile Devices

Robust fitting in computer vision: easy or hard?

Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation

Single Image Intrinsic Decomposition without a Single Intrinsic Image

Disentangling Factors of Variation with Cycle-Consistent Variational Auto-Encoders

Deep Multi-Task Learning to Recognise Subtle Facial Expressions of Mental States

SRDA: Generating Instance Segmentation Annotation via Scanning, Reasoning and Domain Adaptation

DeepWrinkles: Accurate and Realistic Clothing Modeling

Recovering 3D Planes from a Single Image via Convolutional Neural Networks

Learning 3D Shapes as Multi-Layered Height-maps using 2D Convolutional Networks

A Geometric Perspective on Structured Light Coding

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Robust image stitching with multiple registrations

Depth Estimation via Affinity Learned with Convolutional Spatial Propagation Network

Object-centered image stitching

Learning to Dodge A Bullet: Concyclic View Morphing via Deep Learning

CTAP: Complementary Temporal Action Proposal Generation

Effective Use of Synthetic Data for Urban Scene Semantic Segmentation

ActiveStereoNet: End-to-End Self-Supervised Learning for Active Stereo Systems

ShapeCodes: Self-Supervised Feature Learning by Lifting Views to Viewgrids

Unsupervised Domain Adaptation for 3D Keypoint Estimation via View Consistency

Learning Discriminative Video Representations Using Adversarial Perturbations

BSN: Boundary Sensitive Network for Temporal Action Proposal Generation

In the Eye of Beholder: Joint Learning of Gaze and Actions in First Person Video

Compositional Learning for Human Object Interaction

Open-World Stereo Video Matching with Deep RNN

stagNet: An Attentive Semantic RNN for Group Activity Recognition

Double JPEG Detection in Mixed JPEG Quality Factors using Deep Convolutional Neural Network

Deep High Dynamic Range Imaging with Large Foreground Motions

Learning 3D Keypoint Descriptors for Non-Rigid Shape Matching

Learning Class Prototypes via Structure Alignment for Zero-Shot Recognition

CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images

A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising

Linear Span Network for Object Skeleton Detection

DDRNet: Depth Map Denoising and Refinement for Consumer Depth Cameras Using Cascaded CNNs

ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes

Progressive Structure from Motion

GAL: Geometric Adversarial Loss for Single-View 3D-Object Reconstruction

Viewpoint Estimation—Insights & Model

Super-Resolution and Sparse View CT Reconstruction

NNEval: Neural Network based Evaluation Metric for Image Captioning

Monocular Depth Estimation Using Whole Strip Masking and Reliability-Based Refinement

Dynamic Filtering with Large Sampling Field for ConvNets

SaaS: Speed as a Supervisor for Semi-supervised Learning

AutoLoc: Weakly-supervised Temporal Action Localization in Untrimmed Videos

Local Spectral Graph Convolution for Point Set Feature Learning

Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights

VideoMatch: Matching based Video Object Segmentation

Wasserstein Divergence for GANs

Semi-supervised FusedGAN for Conditional Image Generation

Practical Black-box Attacks on Deep Neural Networks using Efficient Query Mechanisms

PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model

Context Refinement for Object Detection

Attention-GAN for Object Transfiguration in Wild Images

Pose Guided Human Video Generation

Exploring the Limits of Weakly Supervised Pretraining

Exploiting Vector Fields for Geometric Rectification of Distorted Document Images

Task-driven Webpage Saliency

Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation

DYAN: A Dynamical Atoms-Based Network For Video Prediction

SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters

Hard-Aware Point-to-Set Deep Metric for Person Re-identification

Coded Two-Bucket Cameras for Computer Vision

Egocentric Activity Prediction via Event Modulated Attention

Real-Time MDNet

Image Generation from Sketch Constraint Using Contextual GAN

Real-Time Hair Rendering using Sequential Adversarial Networks

Sparsely Aggregated Convolutional Networks

Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors

Joint Task-Recursive Learning for Semantic Segmentation and Depth Estimation

Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network

Deep Image Demosaicking using a Cascade of Convolutional Residual Denoising Networks

Modality Distillation with Multiple Stream Networks for Action Recognition

Direct Sparse Odometry With Rolling Shutter

Multi-Class Model Fitting by Energy Minimization and Mode-Seeking

Model-free Consensus Maximization for Non-Rigid Shapes

How good is my GAN?

Pose Partition Networks for Multi-Person Pose Estimation

3D-CODED: 3D Correspondences by Deep Deformation

Interpretable Basis Decomposition for Visual Explanation

Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry

HandMap: Robust Hand Pose Estimation via Intermediate Dense Guidance Map Supervision

Partial Adversarial Domain Adaptation

ExFuse: Enhancing Feature Fusion for Semantic Segmentation

Audio-Visual Event Localization in Unconstrained Videos

Understanding Degeneracies and Ambiguities in Attribute Transfer

Relaxation-Free Deep Hashing via Policy Gradient

How Local is the Local Diversity? Reinforcing Sequential Determinantal Point Processes with Dynamic Ground Sets for Supervised Video Summarization

Question Type Guided Attention in Visual Question Answering

Saliency Benchmarking Made Easy: Separating Models, Maps and Metrics

A Unified Framework for Multi-View Multi-Class Object Pose Estimation

A New Large Scale Dynamic Texture Dataset with Application to ConvNet Understanding

Dynamic Task Prioritization for Multitask Learning

Deep Feature Factorization For Concept Discovery

Diverse feature visualizations reveal invariances in early layers of deep neural networks

Reinforced Temporal Attention and Split-Rate Transfer for Depth-Based Person Re-Identification

NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications

Estimating Depth from RGB and Sparse Sensing

Grounding Visual Explanations

End-to-End Incremental Learning

Toward Scale-Invariance and Position-Sensitive Region Proposal Networks

Deep Regression Tracking with Shrinkage Loss

A Systematic DNN Weight Pruning Framework using Alternating Direction Method of Multipliers

Adversarial Open-World Person Re-Identification

Conditional Image-Text Embedding Networks

DeepIM: Deep Iterative Matching for 6D Pose Estimation

Dist-GAN: An Improved GAN using Distance Constraints

Pivot Correlational Neural Network for Multimodal Video Categorization

Generative Domain-Migration Hashing for Sketch-to-Image Retrieval

TBN: Convolutional Neural Network with Ternary Inputs and Binary Weights

Multi-object Tracking with Neural Gating Using Bilinear LSTM

Highly-Economized Multi-View Binary Compression for Scalable Image Clustering

Part-Aligned Bilinear Representations for Person Re-Identification

End-to-end View Synthesis for Light Field Imaging with Pseudo 4DCNN

Action Anticipation with RBF Kernelized Feature Mapping RNN

Joint Blind Motion Deblurring and Depth Estimation of Light Field

Learning to Navigate for Fine-grained Classification

Specular-to-Diffuse Translation for Multi-View Reconstruction

Clustering Convolutional Kernels to Compress Deep Neural Networks

Scale Aggregation Network for Accurate and Efficient Crowd Counting

Fine-Grained Visual Categorization using Meta-Learning Optimization with Sample Selection of Auxiliary Data

Sampling Algebraic Varieties for Robust Camera Autocalibration

Stacked Cross Attention for Image-Text Matching

Data-Driven Sparse Structure Selection for Deep Neural Networks

DeepPhys: Video-Based Physiological Measurement Using Convolutional Attention Networks

Attribute-Guided Face Generation Using Conditional CycleGAN

On the Solvability of Viewing Graphs

A-Contrario Horizon-First Vanishing Point Detection Using Second-Order Grouping Laws

Deep Volumetric Video From Very Sparse Multi-View Performance Capture

Verisimilar Image Synthesis for Accurate Detection and Recognition of Texts in Scenes

Accurate Scene Text Detection through Border Semantics Awareness and Bootstrapping

RT-GENE: Real-Time Eye Gaze Estimation in Natural Environments

Deep Video Generation, Prediction and Completion of Human Action Sequences

Quantization Mimic: Towards Very Tiny CNN for Object Detection

Deep Structure Inference Network for Facial Action Unit Recognition

Deep Shape Matching

Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses

Efficient Semantic Scene Completion Network with Spatial Group Convolution

Interaction-aware Spatio-temporal Pyramid Attention Networks for Action Classification

Deep Texture and Structure Aware Filtering Network for Image Smoothing

Learning to Solve Nonlinear Least Squares for Monocular Stereo

Unsupervised Class-Specific Deblurring

VSO: Visual Semantic Odometry

Semantic Match Consistency for Long-Term Visual Localization

Learning Priors for Semantic 3D Reconstruction

The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking

Learning with Biased Complementary Labels

NAM: Non-Adversarial Unsupervised Domain Mapping

Motion Feature Network: Fixed Motion Filter for Action Recognition

Transferable Adversarial Perturbations

Semantically Aware Urban 3D Reconstruction with Plane-Based Regularization

Learning Type-Aware Embeddings for Fashion Compatibility

Visual Reasoning with Multi-hop Feature Modulation

Object Detection in Video with Spatiotemporal Sampling Networks

Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes

Extreme Network Compression via Filter Group Approximation

Efficient Sliding Window Computation for NN-Based Template Matching

MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical Models

Single Image Highlight Removal with a Sparse and Low-Rank Reflection Model

ArticulatedFusion: Real-time Reconstruction of Motion, Geometry and Segmentation Using a Single Depth Camera

Museum Exhibit Identification Challenge for the Supervised Domain Adaptation and Beyond

Reconstruction-based Pairwise Depth Dataset for Depth Image Enhancement Using CNN

MRF Optimization with Separable Convex Prior on Partially Ordered Labels

Deep Generative Models for Weakly-Supervised Multi-Label Classification

Attend and Rectify: a gated attention mechanism for fine-grained recovery

ADVIO: An Authentic Dataset for Visual-Inertial Odometry

SRFeat: Single Image Super-Resolution with Feature Discrimination

Efficient 6-DoF Tracking of Handheld Objects from an Egocentric Viewpoint

Learning Visual Question Answering by Bootstrapping Hard Attention

LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks

Spatio-Temporal Channel Correlation Networks for Action Classification

Video Summarization Using Fully Convolutional Sequence Networks

Deep Autoencoder for Combined Human Pose Estimation and Body Model Upscaling

A Style-Aware Content Loss for Real-time HD Style Transfer

A Zero-Shot Framework for Sketch based Image Retrieval

Lambda Twist: An Accurate Fast Robust Perspective Three Point (P3P) Solver

Multi-modal Cycle-consistent Generalized Zero-Shot Learning

Modeling Visual Context is Key to Augmenting Object Detection Datasets

ForestHash: Semantic Hashing With Shallow Random Forests and Tiny Convolutional Networks

Extending Layered Models to 3D Motion

Scale-Awareness of Light Field Camera based Visual Odometry

Joint 3D tracking of a deformable object in interaction with a hand

Local Orthogonal-Group Testing

Occlusion-aware Hand Pose Estimation Using Hierarchical Mixture Density Network

Rolling Shutter Pose and Ego-motion Estimation using Shape-from-Template

Recognition in Terra Incognita

3DMV: Joint 3D-Multi-View Prediction for 3D Semantic Scene Segmentation

A Minimal Closed-Form Solution for Multi-Perspective Pose Estimation using Points and Lines

Burst Image Deblurring Using Permutation Invariant Convolutional Neural Networks

FishEyeRecNet: A Multi-Context Collaborative Deep Network for Fisheye Image Rectification

Unveiling the Power of Deep Tracking

LSQ++: Lower running time and higher recall in multi-codebook quantization

HBE: Hand Branch Ensemble Network for Real-time 3D Hand Pose Estimation

Retrospective Encoders for Video Summarization

Sequential Clique Optimization for Video Object Segmentation

Constraint-Aware Deep Neural Network Compression

Linear RGB-D SLAM for Planar Environments

Learning Region Features for Object Detection

Video Compression through Image Interpolation

Key-Word-Aware Network for Referring Expression Image Segmentation

LAPRAN: A Scalable Laplacian Pyramid Reconstructive Adversarial Network for Flexible Compressive Sensing Reconstruction

Recurrent Fusion Network for Image captioning

On Regularized Losses for Weakly-supervised CNN Segmentation

Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network

A Segmentation-aware Deep Fusion Network for Compressed Sensing MRI

End-to-End Deep Structured Models for Drawing Crosswalks

Few-Shot Human Motion Prediction via Meta-Learning

Correcting the Triplet Selection Bias for Triplet Loss

3D Face Reconstruction from Light Field Images: A Model-free Approach

Straight to the Facts: Learning Knowledge Base Retrieval for Factual Visual Question Answering

Sidekick Policy Learning for Active Visual Exploration

Good Line Cutting: towards Accurate Pose Tracking of Line-assisted VO/VSLAM

Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds

Attentive Semantic Alignment with Offset-Aware Correlation Kernels

“Factual” or “Emotional”: Stylized Image Captioning with Adaptive Learning and Attention

CrossNet: An End-to-end Reference-based Super Resolution Network using Cross-scale Warping

CPlaNet: Enhancing Image Geolocalization by Combinatorial Partitioning of Maps

Single Image Water Hazard Detection using FCN with Reflection Attention Units

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

Multi-Attention Multi-Class Constraint for Fine-grained Image Recognition

Bidirectional Feature Pyramid Network with Recurrent Attention Residual Modules for Shadow Detection

Where are the blobs: Counting by Localization with Point Supervision

Dense Semantic and Topological Correspondence of 3D Faces without Landmarks

Textual Explanations for Self-Driving Vehicles

Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-identification

Efficient Relative Attribute Learning using Graph Neural Networks

Contemplating Visual Emotions: Understanding and Overcoming Dataset Bias

Joint & Progressive Learning from High-Dimensional Data for Multi-Label Classification

Using Object Information for Spotting Text

MVTec D2S: Densely Segmented Supermarket Dataset

Video Object Detection with an Aligned Spatial-Temporal Memory

Asynchronous, Photometric Feature Tracking using Events and Frames

Deep Recursive HDRI: Inverse Tone Mapping using Generative Adversarial Networks

DeepKSPD: Learning Kernel-matrix-based SPD Representation for Fine-grained Image Recognition

Remote Photoplethysmography Correspondence Feature for 3D Mask Face Presentation Attack Detection

Fast Light Field Reconstruction With Deep Coarse-To-Fine Modeling of Spatial-Angular Clues

Deep Discriminative Model for Video Classification

Materials for Masses: SVBRDF Acquisition with a Single Mobile Phone Image

Image Reassembly Combining Deep Learning and Shortest Path Problem

Coded Illumination and Imaging for Fluorescence Based Classification

GANimation: Anatomically-aware Facial Animation from a Single Image

Deep Kalman Filtering Network for Video Compression Artifact Reduction

A Deeply-initialized Coarse-to-fine Ensemble of Regression Trees for Face Alignment

Deep Expander Networks: Efficient Deep Networks from Graph Theory

Coloring with Words: Guiding Image Colorization Through Text-based Palette Generation

BusterNet: Detecting Copy-Move Image Forgery with Source/Target Localization

Task-Aware Image Downscaling

Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition

Self-Calibration of Cameras with Euclidean Image Plane in Case of Two Views and Known Relative Rotation Angle

To learn image super-resolution, use a GAN to learn how to do image degradation first

Multi-scale Residual Network for Image Super-Resolution

Efficient Global Point Cloud Registration by Matching Rotation Invariant Features Through Translation Search

FloorNet: A Unified Framework for Floorplan Reconstruction from 3D Scans

Facial Dynamics Interpreter Network: What are the Important Relations between Local Dynamics for Facial Trait Estimation?

Transferring GANs: generating images from limited data

A Dataset for Lane Instance Segmentation in Urban Environments

Visual Question Generation for Class Acquisition of Unknown Objects

DeepVS: A Deep Learning Based Video Saliency Prediction Approach

Saliency Preservation in Low-Resolution Grayscale Images

Pairwise Relational Networks for Face Recognition

Proxy Clouds for Live RGB-D Stream Processing and Consolidation

U-PC: Unsupervised Planogram Compliance

Learning to Detect and Track Visible and Occluded Body Joints in a Virtual World

Deep Metric Learning with Hierarchical Triplet Loss

Efficient Dense Point Cloud Object Reconstruction using Deformation Vector Fields

DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation

Improving DNN Robustness to Adversarial Attacks using Jacobian Regularization

Joint Learning of Intrinsic Images and Semantic Segmentation

Recurrent Tubelet Proposal and Recognition Networks for Action Detection

Domain transfer through deep activation matching

Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study

Recovering Accurate 3D Human Pose in The Wild Using IMUs and a Moving Camera

Beyond local reasoning for stereo confidence estimation with deep learning

Self-supervised Knowledge Distillation Using Singular Value Decomposition

Implicit 3D Orientation Learning for 6D Object Detection from RGB Images

Concept Mask: Large-Scale Segmentation from Semantic Concepts

Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net

Adaptively Transforming Graph Matching

Deep Continuous Fusion for Multi-Sensor 3D Object Detection

PARN: Pyramidal Affine Regression Networks for Dense Semantic Correspondence

Multimodal image alignment through a multiscale chain of neural networks with application to remote sensing

Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)

Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers

Start, Follow, Read: End-to-End Full-Page Handwriting Recognition

PM-GANs: Discriminative Representation Learning for Action Recognition Using Partial-modalities

Adversarial Geometry-Aware Human Motion Prediction

WildDash - Creating Hazard-Aware Benchmarks

RefocusGAN: Scene Refocusing using a Single Image

Stereo Vision-based Semantic 3D Object and Ego-motion Tracking for Autonomous Driving

Zero-shot keyword spotting for visual speech recognition in-the-wild

Learning Efficient Single-stage Pedestrian Detectors by Asymptotic Localization Fitting

Generative Adversarial Network with Spatial Attention for Face Attribute Editing

Scenes-Objects-Actions: A Multi-Task, Multi-Label Video Dataset

Descending, lifting or smoothing: Secrets of robust cost optimization

Deep Bilevel Learning

Realtime Time Synchronized Event-based Stereo

Understanding Perceptual and Conceptual Fluency at a Large Scale

Structure-from-Motion-Aware PatchMatch for Adaptive Optical Flow Estimation

Unsupervised Learning of Multi-Frame Optical Flow with Occlusions

Distortion-Aware Convolutional Filters for Dense Prediction in Panoramic Images

Accelerating Dynamic Programs via Nested Benders Decomposition with Application to Multi-Person Pose Estimation

OmniDepth: Dense Depth Estimation for Indoors Spherical Panoramas

Joint optimization for compressive video sensing and reconstruction under hardware constraints

A+D Net: Training a Shadow Detector with Adversarial Shadow Attenuation

Simple Baselines for Human Pose Estimation and Tracking

Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance

Geolocation Estimation of Photos using a Hierarchical Model and Scene Classification

Universal Sketch Perceptual Grouping

License Plate Detection and Recognition in Unconstrained Scenarios

Affine Correspondences between Central Cameras for Rapid Relative Pose Estimation

ConvNets and ImageNet Beyond Accuracy: Understanding Mistakes and Uncovering Biases

Human Motion Analysis with Deep Metric Learning

Real-to-Virtual Domain Unification for End-to-End Autonomous Driving

Imagine This! Scripts to Compositions to Videos

Exploring Visual Relationship for Image Captioning

ExplainGAN: Model Explanation via Decision Boundary Crossing Transformations

RESOUND: Towards Action Recognition without Representation Bias

Fast and Accurate Camera Covariance Computation for Large 3D Reconstruction

Deep Randomized Ensembles for Metric Learning

The Mutex Watershed: Efficient, Parameter-Free Image Partitioning

Integral Human Pose Regression

Quadtree Convolutional Neural Networks

Urban Zoning Using Higher-Order Markov Random Fields on Multi-View Imagery Data

Self-produced Guidance for Weakly-supervised Object Localization

ECO: Efficient Convolutional Network for Online Video Understanding

Multi-Scale Structure-Aware Network for Human Pose Estimation

Does Haze Removal Help CNN-based Image Classification?

Quaternion Convolutional Neural Networks

Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation

Single Shot Scene Text Retrieval

Learning to Predict Crisp Boundaries

Diverse and Coherent Paragraph Generation from Images

Folded Recurrent Neural Networks for Future Video Prediction

Image Manipulation with Perceptual Discriminators

DeepTAM: Deep Tracking and Mapping

W-TALC: Weakly-supervised Temporal Activity Localization and Classification

Is Robustness the Cost of Accuracy? – A Comprehensive Study on the Robustness of 18 Deep Image Classification Models

3D Ego-Pose Estimation via Imitation Learning

Supervising the new with the old: learning SFM from SFM

Towards Realistic Predictors

Value-aware Quantization for Training and Inference of Neural Networks

Structural Consistency and Controllability for Diverse Colorization

A Dataset and Architecture for Visual Reasoning with a Working Memory

From Face Recognition to Models of Identity: A Bayesian Approach to Learning about Unknown Identities from Unsupervised Data

Open Set Learning with Counterfactual Images

Fully-Convolutional Point Networks for Large-Scale Point Clouds

Improving Shape Deformation in Unsupervised Image-to-Image Translation

SwapNet: Garment Transfer in Single View Images

Learning SO(3) Equivariant Representations with Spherical CNNs

Multiple-gaze geometry: Inferring novel 3D locations from gazes observed in monocular video

Constrained Optimization Based Low-Rank Approximation of Deep Neural Networks

Stereo relative pose from line and point feature triplets

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