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08/18/2023
Diffusion Models for Image Restoration and Enhancement – A Comprehensive Survey
Image restoration (IR) has been an indispensable and challenging task in...
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06/22/2023
One at A Time: Multi-step Volumetric Probability Distribution Diffusion for Depth Estimation
Recent works have explored the fundamental role of depth estimation in m...
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05/24/2023
Collaborative World Models: An Online-Offline Transfer RL Approach
Training visual reinforcement learning (RL) models in offline datasets i...
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04/22/2023
NaviNeRF: NeRF-based 3D Representation Disentanglement by Latent Semantic Navigation
3D representation disentanglement aims to identify, decompose, and manip...
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04/13/2023
Inpaint Anything: Segment Anything Meets Image Inpainting
Modern image inpainting systems, despite the significant progress, often...
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04/13/2023
[CLS] Token is All You Need for Zero-Shot Semantic Segmentation
In this paper, we propose an embarrassingly simple yet highly effective ...
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03/24/2023
StereoScene: BEV-Assisted Stereo Matching Empowers 3D Semantic Scene Completion
3D semantic scene completion (SSC) is an ill-posed task that requires in...
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01/26/2023
Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning
We present AIRS: Automatic Intrinsic Reward Shaping that intelligently a...
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11/28/2022
Tackling Visual Control via Multi-View Exploration Maximization
We present MEM: Multi-view Exploration Maximization for tackling complex...
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09/19/2022
Rewarding Episodic Visitation Discrepancy for Exploration in Reinforcement Learning
Exploration is critical for deep reinforcement learning in complex envir...
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09/08/2022
A Nonparametric Contextual Bandit with Arm-level Eligibility Control for Customer Service Routing
Amazon Customer Service provides real-time support for millions of custo...
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08/07/2022
Robust Multi-Object Tracking by Marginal Inference
Multi-object tracking in videos requires to solve a fundamental problem ...
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07/20/2022
VirtualPose: Learning Generalizable 3D Human Pose Models from Virtual Data
While monocular 3D pose estimation seems to have achieved very accurate ...
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03/31/2022
ReSTR: Convolution-free Referring Image Segmentation Using Transformers
Referring image segmentation is an advanced semantic segmentation task w...
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03/03/2022
Correlation-Aware Deep Tracking
Robustness and discrimination power are two fundamental requirements in ...
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02/24/2022
Retriever: Learning Content-Style Representation as a Token-Level Bipartite Graph
This paper addresses the unsupervised learning of content-style decompos...
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01/26/2022
When Shift Operation Meets Vision Transformer: An Extremely Simple Alternative to Attention Mechanism
Attention mechanism has been widely believed as the key to success of vi...
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12/13/2021
Lifelong Unsupervised Domain Adaptive Person Re-identification with Coordinated Anti-forgetting and Adaptation
Unsupervised domain adaptive person re-identification (ReID) has been ex...
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12/06/2021
SelectAugment: Hierarchical Deterministic Sample Selection for Data Augmentation
Data augmentation (DA) has been widely investigated to facilitate model ...
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12/05/2021
Learning Tracking Representations via Dual-Branch Fully Transformer Networks
We present a Siamese-like Dual-branch network based on solely Transforme...
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11/26/2021
Confounder Identification-free Causal Visual Feature Learning
Confounders in deep learning are in general detrimental to model's gener...
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11/07/2021
Multi-Scale Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition
Skeleton data is of low dimension. However, there is a trend of using ve...
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10/28/2021
Skeleton-Based Mutually Assisted Interacted Object Localization and Human Action Recognition
Skeleton data carries valuable motion information and is widely explored...
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09/29/2021
WEDGE: Web-Image Assisted Domain Generalization for Semantic Segmentation
Domain generalization for semantic segmentation is highly demanded in re...
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09/12/2021
Zero-Shot Text-to-Speech for Text-Based Insertion in Audio Narration
Given a piece of speech and its transcript text, text-based speech editi...
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09/12/2021
Sparse MLP for Image Recognition: Is Self-Attention Really Necessary?
Transformers have sprung up in the field of computer vision. In this wor...
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08/30/2021
A Battle of Network Structures: An Empirical Study of CNN, Transformer, and MLP
Convolutional neural networks (CNN) are the dominant deep neural network...
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08/18/2021
Self-Supervised Visual Representations Learning by Contrastive Mask Prediction
Advanced self-supervised visual representation learning methods rely on ...
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08/05/2021
VoxelTrack: Multi-Person 3D Human Pose Estimation and Tracking in the Wild
We present VoxelTrack for multi-person 3D pose estimation and tracking f...
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07/31/2021
Pose-Guided Feature Learning with Knowledge Distillation for Occluded Person Re-Identification
Occluded person re-identification (ReID) aims to match person images wit...
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07/01/2021
Markov Decision Process modeled with Bandits for Sequential Decision Making in Linear-flow
In membership/subscriber acquisition and retention, we sometimes need to...
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06/21/2021
ToAlign: Task-oriented Alignment for Unsupervised Domain Adaptation
Unsupervised domain adaptive classification intends to improve theclassi...
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06/08/2021
PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning
Learning good feature representations is important for deep reinforcemen...
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05/25/2021
Understanding Mobile GUI: from Pixel-Words to Screen-Sentences
The ubiquity of mobile phones makes mobile GUI understanding an importan...
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05/06/2021
Unsupervised Visual Representation Learning by Tracking Patches in Video
Inspired by the fact that human eyes continue to develop tracking abilit...
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04/02/2021
S2R-DepthNet: Learning a Generalizable Depth-specific Structural Representation
Human can infer the 3D geometry of a scene from a sketch instead of a re...
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03/25/2021
Disentanglement-based Cross-Domain Feature Augmentation for Effective Unsupervised Domain Adaptive Person Re-identification
Unsupervised domain adaptive (UDA) person re-identification (ReID) aims ...
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03/25/2021
MetaAlign: Coordinating Domain Alignment and Classification for Unsupervised Domain Adaptation
For unsupervised domain adaptation (UDA), to alleviate the effect of dom...
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03/22/2021
Re-energizing Domain Discriminator with Sample Relabeling for Adversarial Domain Adaptation
Many unsupervised domain adaptation (UDA) methods exploit domain adversa...
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02/21/2021
Rethinking Content and Style: Exploring Bias for Unsupervised Disentanglement
Content and style (C-S) disentanglement intends to decompose the underly...
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02/21/2021
Do Generative Models Know Disentanglement? Contrastive Learning is All You Need
Disentangled generative models are typically trained with an extra regul...
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02/20/2021
GroupifyVAE: from Group-based Definition to VAE-based Unsupervised Representation Disentanglement
The key idea of the state-of-the-art VAE-based unsupervised representati...
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02/07/2021
AttributeNet: Attribute Enhanced Vehicle Re-Identification
Vehicle Re-Identification (V-ReID) is a critical task that associates th...
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02/03/2021
General-Purpose Speech Representation Learning through a Self-Supervised Multi-Granularity Framework
This paper presents a self-supervised learning framework, named MGF, for...
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01/28/2021
VAE^2: Preventing Posterior Collapse of Variational Video Predictions in the Wild
Predicting future frames of video sequences is challenging due to the co...
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01/03/2021
Style Normalization and Restitution for DomainGeneralization and Adaptation
For many practical computer vision applications, the learned models usua...
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12/16/2020
Exploiting Sample Uncertainty for Domain Adaptive Person Re-Identification
Many unsupervised domain adaptive (UDA) person re-identification (ReID) ...
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11/25/2020
Humble Teacher and Eager Student: Dual Network Learning for Semi-supervised 2D Human Pose Estimation
Semi-supervised learning aims to boost the accuracy of a model by explor...
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11/23/2020
Re-identification = Retrieval + Verification: Back to Essence and Forward with a New Metric
Re-identification (re-ID) is currently investigated as a closed-world im...
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10/09/2020