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09/03/2023
SOAR: Scene-debiasing Open-set Action Recognition
Deep learning models have a risk of utilizing spurious clues to make pre...
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09/03/2023
Towards Generic Image Manipulation Detection with Weakly-Supervised Self-Consistency Learning
As advanced image manipulation techniques emerge, detecting the manipula...
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08/18/2023
Language-guided Human Motion Synthesis with Atomic Actions
Language-guided human motion synthesis has been a challenging task due t...
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07/19/2023
Source-Free Domain Adaptation for Medical Image Segmentation via Prototype-Anchored Feature Alignment and Contrastive Learning
Unsupervised domain adaptation (UDA) has increasingly gained interests f...
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07/17/2023
Uncertainty-aware State Space Transformer for Egocentric 3D Hand Trajectory Forecasting
Hand trajectory forecasting from egocentric views is crucial for enablin...
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07/08/2023
High Fidelity 3D Hand Shape Reconstruction via Scalable Graph Frequency Decomposition
Despite the impressive performance obtained by recent single-image hand ...
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05/18/2023
RoomDreamer: Text-Driven 3D Indoor Scene Synthesis with Coherent Geometry and Texture
The techniques for 3D indoor scene capturing are widely used, but the me...
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05/07/2023
Neural Voting Field for Camera-Space 3D Hand Pose Estimation
We present a unified framework for camera-space 3D hand pose estimation ...
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04/12/2023
Dynamic Voxel Grid Optimization for High-Fidelity RGB-D Supervised Surface Reconstruction
Direct optimization of interpolated features on multi-resolution voxel g...
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03/15/2023
Harnessing Low-Frequency Neural Fields for Few-Shot View Synthesis
Neural Radiance Fields (NeRF) have led to breakthroughs in the novel vie...
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12/10/2022
Progressive Multi-view Human Mesh Recovery with Self-Supervision
To date, little attention has been given to multi-view 3D human mesh est...
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12/01/2022
GRiT: A Generative Region-to-text Transformer for Object Understanding
This paper presents a Generative RegIon-to-Text transformer, GRiT, for o...
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10/28/2022
NeRFPlayer: A Streamable Dynamic Scene Representation with Decomposed Neural Radiance Fields
Visually exploring in a real-world 4D spatiotemporal space freely in VR ...
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10/16/2022
Federated Learning with Privacy-Preserving Ensemble Attention Distillation
Federated Learning (FL) is a machine learning paradigm where many local ...
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09/21/2022
PREF: Predictability Regularized Neural Motion Fields
Knowing the 3D motions in a dynamic scene is essential to many vision ap...
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09/14/2022
PointACL:Adversarial Contrastive Learning for Robust Point Clouds Representation under Adversarial Attack
Despite recent success of self-supervised based contrastive learning mod...
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07/30/2022
Neural Correspondence Field for Object Pose Estimation
We propose a method for estimating the 6DoF pose of a rigid object with ...
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07/20/2022
AiATrack: Attention in Attention for Transformer Visual Tracking
Transformer trackers have achieved impressive advancements recently, whe...
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06/21/2022
Semantics-Depth-Symbiosis: Deeply Coupled Semi-Supervised Learning of Semantics and Depth
Multi-task learning (MTL) paradigm focuses on jointly learning two or mo...
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03/20/2022
Optical Flow for Video Super-Resolution: A Survey
Video super-resolution is currently one of the most active research topi...
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03/12/2022
Deformable VisTR: Spatio temporal deformable attention for video instance segmentation
Video instance segmentation (VIS) task requires classifying, segmenting,...
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03/03/2022
Efficient Video Instance Segmentation via Tracklet Query and Proposal
Video Instance Segmentation (VIS) aims to simultaneously classify, segme...
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03/02/2022
MixSTE: Seq2seq Mixed Spatio-Temporal Encoder for 3D Human Pose Estimation in Video
Recent transformer-based solutions have been introduced to estimate 3D h...
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02/24/2022
Slow-Fast Visual Tempo Learning for Video-based Action Recognition
Action visual tempo characterizes the dynamics and the temporal scale of...
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02/08/2022
Joint-bone Fusion Graph Convolutional Network for Semi-supervised Skeleton Action Recognition
In recent years, graph convolutional networks (GCNs) play an increasingl...
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01/24/2022
Consistent 3D Hand Reconstruction in Video via self-supervised Learning
We present a method for reconstructing accurate and consistent 3D hands ...
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08/08/2021
OVIS: Open-Vocabulary Visual Instance Search via Visual-Semantic Aligned Representation Learning
We introduce the task of open-vocabulary visual instance search (OVIS). ...
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06/21/2021
Two-Stream Consensus Network: Submission to HACS Challenge 2021 Weakly-Supervised Learning Track
This technical report presents our solution to the HACS Temporal Action ...
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05/15/2021
NeuLF: Efficient Novel View Synthesis with Neural 4D Light Field
In this paper, we present an efficient and robust deep learning solution...
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03/30/2021
Weakly Supervised Temporal Action Localization Through Learning Explicit Subspaces for Action and Context
Weakly-supervised Temporal Action Localization (WS-TAL) methods learn to...
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03/28/2021
ACSNet: Action-Context Separation Network for Weakly Supervised Temporal Action Localization
The object of Weakly-supervised Temporal Action Localization (WS-TAL) is...
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03/22/2021
Model-based 3D Hand Reconstruction via Self-Supervised Learning
Reconstructing a 3D hand from a single-view RGB image is challenging due...
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03/16/2021
Track to Detect and Segment: An Online Multi-Object Tracker
Most online multi-object trackers perform object detection stand-alone i...
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02/01/2021
Rethinking Soft Labels for Knowledge Distillation: A Bias-Variance Tradeoff Perspective
Knowledge distillation is an effective approach to leverage a well-train...
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01/10/2021
SPAGAN: Shortest Path Graph Attention Network
Graph convolutional networks (GCN) have recently demonstrated their pote...
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11/07/2020
Interventional Domain Adaptation
Domain adaptation (DA) aims to transfer discriminative features learned ...
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10/22/2020
Two-Stream Consensus Network for Weakly-Supervised Temporal Action Localization
Weakly-supervised Temporal Action Localization (W-TAL) aims to classify ...
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09/30/2020
Attention-Aware Noisy Label Learning for Image Classification
Deep convolutional neural networks (CNNs) learned on large-scale labeled...
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08/14/2020
ConsNet: Learning Consistency Graph for Zero-Shot Human-Object Interaction Detection
We consider the problem of Human-Object Interaction (HOI) Detection, whi...
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08/13/2020
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation
Despite the previous success of object analysis, detecting and segmentin...
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08/12/2020
Revisiting Modified Greedy Algorithm for Monotone Submodular Maximization with a Knapsack Constraint
Monotone submodular maximization with a knapsack constraint is NP-hard. ...
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08/11/2020
Campus3D: A Photogrammetry Point Cloud Benchmark for Hierarchical Understanding of Outdoor Scene
Learning on 3D scene-based point cloud has received extensive attention ...
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08/10/2020
Deep Reinforcement Learning with Label Embedding Reward for Supervised Image Hashing
Deep hashing has shown promising results in image retrieval and recognit...
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07/15/2020
Temporal Distinct Representation Learning for Action Recognition
Motivated by the previous success of Two-Dimensional Convolutional Neura...
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07/04/2020
Structure-Aware Human-Action Generation
Generating long-range skeleton-based human actions has been a challengin...
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06/28/2020
Joint Hand-object 3D Reconstruction from a Single Image with Cross-branch Feature Fusion
Accurate 3D reconstruction of the hand and object shape from a hand-obje...
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05/14/2020
Towards Understanding the Adversarial Vulnerability of Skeleton-based Action Recognition
Skeleton-based action recognition has attracted increasing attention due...
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05/12/2020
3DV: 3D Dynamic Voxel for Action Recognition in Depth Video
To facilitate depth-based 3D action recognition, 3D dynamic voxel (3DV) ...
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04/12/2020
Image Co-skeletonization via Co-segmentation
Recent advances in the joint processing of images have certainly shown i...
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03/30/2020