b'Houqiang Li'

research

∙ 05/08/2022

Simultaneous Double Q-learning with Conservative Advantage Learning for Actor-Critic Methods

Actor-critic Reinforcement Learning (RL) algorithms have achieved impres...

Qing Li, et al. ∙

research

∙ 05/07/2022

Multi-Target Active Object Tracking with Monte Carlo Tree Search and Target Motion Modeling

In this work, we are dedicated to multi-target active object tracking (A...

Zheng Chen, et al. ∙

research

∙ 05/05/2022

LDSA: Learning Dynamic Subtask Assignment in Cooperative Multi-Agent Reinforcement Learning

Cooperative multi-agent reinforcement learning (MARL) has made prominent...

Mingyu Yang, et al. ∙

research

∙ 04/25/2022

Estimation of Reliable Proposal Quality for Temporal Action Detection

Temporal action detection (TAD) aims to locate and recognize the actions...

Junshan Hu, et al. ∙

research

∙ 04/06/2022

Domain-Agnostic Prior for Transfer Semantic Segmentation

Unsupervised domain adaptation (UDA) is an important topic in the comput...

Xinyue Huo, et al. ∙

research

∙ 04/06/2022

DouZero+: Improving DouDizhu AI by Opponent Modeling and Coach-guided Learning

Recent years have witnessed the great breakthrough of deep reinforcement...

Youpeng Zhao, et al. ∙

research

∙ 03/30/2022

Large-Scale Pre-training for Person Re-identification with Noisy Labels

This paper aims to address the problem of pre-training for person re-ide...

Dengpan Fu, et al. ∙

research

∙ 03/21/2022

Learning Enriched Illuminants for Cross and Single Sensor Color Constancy

Color constancy aims to restore the constant colors of a scene under dif...

Xiaodong Cun, et al. ∙

research

∙ 03/16/2022

Coach-assisted Multi-Agent Reinforcement Learning Framework for Unexpected Crashed Agents

Multi-agent reinforcement learning is difficult to be applied in practic...

Jian Zhao, et al. ∙

research

∙ 03/16/2022

CTDS: Centralized Teacher with Decentralized Student for Multi-Agent Reinforcement Learning

Due to the partial observability and communication constraints in many m...

Jian Zhao, et al. ∙

research

∙ 03/11/2022

TAPE: Task-Agnostic Prior Embedding for Image Restoration

Learning an generalized prior for natural image restoration is an import...

Lin Liu, et al. ∙

research

∙ 03/10/2022

MVP: Multimodality-guided Visual Pre-training

Recently, masked image modeling (MIM) has become a promising direction f...

Longhui Wei, et al. ∙

research

∙ 02/22/2022

Coordinate-Aligned Multi-Camera Collaboration for Active Multi-Object Tracking

Active Multi-Object Tracking (AMOT) is a task where cameras are controll...

Zeyu Fang, et al. ∙

research

∙ 02/21/2022

DQMIX: A Distributional Perspective on Multi-Agent Reinforcement Learning

In cooperative multi-agent tasks, a team of agents jointly interact with...

Jian Zhao, et al. ∙

research

∙ 02/09/2022

Revisiting QMIX: Discriminative Credit Assignment by Gradient Entropy Regularization

In cooperative multi-agent systems, agents jointly take actions and rece...

Jian Zhao, et al. ∙

research

∙ 02/03/2022

Direct Molecular Conformation Generation

Molecular conformation generation aims to generate three-dimensional coo...

Jinhua Zhu, et al. ∙

research

∙ 01/11/2022

Representing Videos as Discriminative Sub-graphs for Action Recognition

Human actions are typically of combinatorial structures or patterns, i.e...

Dong Li, et al. ∙

research

∙ 12/20/2021

Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization

Deep reinforcement learning algorithms can perform poorly in real-world ...

Yufei Kuang, et al. ∙

research

∙ 12/16/2021

Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic

Model-based reinforcement learning algorithms, which aim to learn a mode...

Zhihai Wang, et al. ∙

research

∙ 12/16/2021

Radio-Assisted Human Detection

In this paper, we propose a radio-assisted human detection framework by ...

Chengrun Qiu, et al. ∙

research

∙ 11/29/2021

VPFNet: Improving 3D Object Detection with Virtual Point based LiDAR and Stereo Data Fusion

It has been well recognized that fusing the complementary information fr...

Hanqi Zhu, et al. ∙

research

∙ 11/03/2021

Dual Progressive Prototype Network for Generalized Zero-Shot Learning

Generalized Zero-Shot Learning (GZSL) aims to recognize new categories w...

Chaoqun Wang, et al. ∙

research

∙ 10/29/2021

Unsupervised Person Re-Identification with Wireless Positioning under Weak Scene Labeling

Existing unsupervised person re-identification methods only rely on visu...

Yiheng Liu, et al. ∙

research

∙ 10/28/2021

DocScanner: Robust Document Image Rectification with Progressive Learning

Compared to flatbed scanners, portable smartphones are much more conveni...

Hao Feng, et al. ∙

research

∙ 10/26/2021

Contextual Similarity Aggregation with Self-attention for Visual Re-ranking

In content-based image retrieval, the first-round retrieval result by si...

Jianbo Ouyang, et al. ∙

research

∙ 10/25/2021

DocTr: Document Image Transformer for Geometric Unwarping and Illumination Correction

In this work, we propose a new framework, called Document Image Transfor...

Hao Feng, et al. ∙

research

∙ 10/11/2021

SignBERT: Pre-Training of Hand-Model-Aware Representation for Sign Language Recognition

Hand gesture serves as a critical role in sign language. Current deep-le...

Hezhen Hu, et al. ∙

research

∙ 10/11/2021

Equivalence Analysis between Counterfactual Regret Minimization and Online Mirror Descent

Counterfactual Regret Minimization (CFR) is a kind of regret minimizatio...

Weiming Liu, et al. ∙

research

∙ 09/26/2021

One-shot Key Information Extraction from Document with Deep Partial Graph Matching

Automating the Key Information Extraction (KIE) from documents improves ...

Minghong Yao, et al. ∙

research

∙ 09/06/2021

Learning Fine-Grained Motion Embedding for Landscape Animation

In this paper we focus on landscape animation, which aims to generate ti...

Hongwei Xue, et al. ∙

research

∙ 08/25/2021

Heredity-aware Child Face Image Generation with Latent Space Disentanglement

Generative adversarial networks have been widely used in image synthesis...

Xiao Cui, et al. ∙

research

∙ 08/10/2021

Instance-wise Hard Negative Example Generation for Contrastive Learning in Unpaired Image-to-Image Translation

Contrastive learning shows great potential in unpaired image-to-image tr...

Weilun Wang, et al. ∙

research

∙ 08/08/2021

Joint Inductive and Transductive Learning for Video Object Segmentation

Semi-supervised video object segmentation is a task of segmenting the ta...

Yunyao Mao, et al. ∙

research

∙ 07/30/2021

From Multi-View to Hollow-3D: Hallucinated Hollow-3D R-CNN for 3D Object Detection

As an emerging data modal with precise distance sensing, LiDAR point clo...

Jiajun Deng, et al. ∙

research

∙ 07/03/2021

Supervised Off-Policy Ranking

Off-policy evaluation (OPE) leverages data generated by other policies t...

Yue Jin, et al. ∙

research

∙ 07/01/2021

Revisiting Knowledge Distillation: An Inheritance and Exploration Framework

Knowledge Distillation (KD) is a popular technique to transfer knowledge...

Zhen Huang, et al. ∙

research

∙ 06/30/2021

Weakly Supervised Temporal Adjacent Network for Language Grounding

Temporal language grounding (TLG) is a fundamental and challenging probl...

Yuechen Wang, et al. ∙

research

∙ 06/25/2021

Probing Inter-modality: Visual Parsing with Self-Attention for Vision-Language Pre-training

Vision-Language Pre-training (VLP) aims to learn multi-modal representat...

Hongwei Xue, et al. ∙

research

∙ 06/17/2021

Dual-view Molecule Pre-training

Inspired by its success in natural language processing and computer visi...

Jinhua Zhu, et al. ∙

research

∙ 06/01/2021

Exploring the Diversity and Invariance in Yourself for Visual Pre-Training Task

Recently, self-supervised learning methods have achieved remarkable succ...

Longhui Wei, et al. ∙

research

∙ 05/26/2021

Improving Sign Language Translation with Monolingual Data by Sign Back-Translation

Despite existing pioneering works on sign language translation (SLT), th...

Hao Zhou, et al. ∙

research

∙ 04/19/2021

Understanding Chinese Video and Language via Contrastive Multimodal Pre-Training

The pre-trained neural models have recently achieved impressive performa...

Chenyi Lei, et al. ∙

research

∙ 04/17/2021

TransVG: End-to-End Visual Grounding with Transformers

In this paper, we present a neat yet effective transformer-based framewo...

Jiajun Deng, et al. ∙

research

∙ 04/16/2021

ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation

Now, the pre-training technique is ubiquitous in natural language proces...

Weizhen Qi, et al. ∙

research

∙ 04/05/2021

Task-Independent Knowledge Makes for Transferable Representations for Generalized Zero-Shot Learning

Generalized Zero-Shot Learning (GZSL) targets recognizing new categories...

Chaoqun Wang, et al. ∙

research

∙ 03/18/2021

Generating Diverse Structure for Image Inpainting With Hierarchical VQ-VAE

Given an incomplete image without additional constraint, image inpaintin...

Jialun Peng, et al. ∙

research

∙ 03/05/2021

IOT: Instance-wise Layer Reordering for Transformer Structures

With sequentially stacked self-attention, (optional) encoder-decoder att...

Jinhua Zhu, et al. ∙

research

∙ 12/31/2020

Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection

Recent advances on 3D object detection heavily rely on how the 3D data a...

Jiajun Deng, et al. ∙

research

∙ 12/09/2020

Contrastive Transformation for Self-supervised Correspondence Learning

In this paper, we focus on the self-supervised learning of visual corres...

Ning Wang, et al. ∙

research

∙ 12/07/2020

Unsupervised Pre-training for Person Re-identification

In this paper, we present a large scale unlabeled person re-identificati...

Dengpan Fu, et al. ∙

Houqiang Li

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