b'Gao Huang'

research

∙ 09/04/2023

Leveraging Reward Consistency for Interpretable Feature Discovery in Reinforcement Learning

The black-box nature of deep reinforcement learning (RL) hinders them fr...

0 Qisen Yang, et al. ∙

research

∙ 09/04/2023

Hundreds Guide Millions: Adaptive Offline Reinforcement Learning with Expert Guidance

Offline reinforcement learning (RL) optimizes the policy on a previously...

0 Qisen Yang, et al. ∙

research

∙ 09/04/2023

DAT++: Spatially Dynamic Vision Transformer with Deformable Attention

Transformers have shown superior performance on various vision tasks. Th...

0 Zhuofan Xia, et al. ∙

research

∙ 09/01/2023

Fine-grained Recognition with Learnable Semantic Data Augmentation

Fine-grained image recognition is a longstanding computer vision challen...

0 Yifan Pu, et al. ∙

research

∙ 08/30/2023

Latency-aware Unified Dynamic Networks for Efficient Image Recognition

Dynamic computation has emerged as a promising avenue to enhance the inf...

0 Yizeng Han, et al. ∙

research

∙ 08/27/2023

Computation-efficient Deep Learning for Computer Vision: A Survey

Over the past decade, deep learning models have exhibited considerable a...

0 Yulin Wang, et al. ∙

research

∙ 08/20/2023

ExpeL: LLM Agents Are Experiential Learners

The recent surge in research interest in applying large language models ...

0 Andrew Zhao, et al. ∙

research

∙ 08/08/2023

Learning Specialized Activation Functions for Physics-informed Neural Networks

Physics-informed neural networks (PINNs) are known to suffer from optimi...

0 Honghui Wang, et al. ∙

research

∙ 08/01/2023

FLatten Transformer: Vision Transformer using Focused Linear Attention

The quadratic computation complexity of self-attention has been a persis...

0 Dongchen Han, et al. ∙

research

∙ 06/27/2023

Multi-Dimensional Refinement Graph Convolutional Network with Robust Decouple Loss for Fine-Grained Skeleton-Based Action Recognition

Graph convolutional networks have been widely used in skeleton-based act...

0 Sheng-Lan Liu, et al. ∙

research

∙ 06/20/2023

Dynamic Perceiver for Efficient Visual Recognition

Early exiting has become a promising approach to improving the inference...

0 Yizeng Han, et al. ∙

research

∙ 06/08/2023

ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process

Image recognition and generation have long been developed independently ...

1 Changyao Tian, et al. ∙

research

∙ 06/08/2023

Offline Prioritized Experience Replay

Offline reinforcement learning (RL) is challenged by the distributional ...

7 Yang Yue, et al. ∙

research

∙ 06/06/2023

Boosting Offline Reinforcement Learning with Action Preference Query

Training practical agents usually involve offline and online reinforceme...

0 Qisen Yang, et al. ∙

research

∙ 05/25/2023

Ghost in the Minecraft: Generally Capable Agents for Open-World Enviroments via Large Language Models with Text-based Knowledge and Memory

The captivating realm of Minecraft has attracted substantial research in...

0 Xizhou Zhu, et al. ∙

research

∙ 05/25/2023

Prompt-Free Diffusion: Taking "Text" out of Text-to-Image Diffusion Models

Text-to-image (T2I) research has grown explosively in the past year, owi...

0 Xingqian Xu, et al. ∙

research

∙ 04/09/2023

Slide-Transformer: Hierarchical Vision Transformer with Local Self-Attention

Self-attention mechanism has been a key factor in the recent progress of...

0 Xuran Pan, et al. ∙

research

∙ 04/06/2023

Zero-shot Generative Model Adaptation via Image-specific Prompt Learning

Recently, CLIP-guided image synthesis has shown appealing performance on...

0 Jiayi Guo, et al. ∙

research

∙ 03/14/2023

Adaptive Rotated Convolution for Rotated Object Detection

Rotated object detection aims to identify and locate objects in images w...

0 Yifan Pu, et al. ∙

research

∙ 01/18/2023

Joint Representation Learning for Text and 3D Point Cloud

Recent advancements in vision-language pre-training (e.g. CLIP) have sho...

0 Rui Huang, et al. ∙

research

∙ 12/16/2022

Convolution-enhanced Evolving Attention Networks

Attention-based neural networks, such as Transformers, have become ubiqu...

0 Yujing Wang, et al. ∙

research

∙ 12/08/2022

Deep Model Assembling

Large deep learning models have achieved remarkable success in many scen...

0 Zanlin Ni, et al. ∙

research

∙ 11/18/2022

BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision

We present a novel bird's-eye-view (BEV) detector with perspective super...

0 Chenyu Yang, et al. ∙

research

∙ 11/17/2022

Towards All-in-one Pre-training via Maximizing Multi-modal Mutual Information

To effectively exploit the potential of large-scale models, various pre-...

0 Weijie Su, et al. ∙

research

∙ 11/17/2022

EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones

The superior performance of modern deep networks usually comes at the pr...

0 Yulin Wang, et al. ∙

research

∙ 11/17/2022

Cross-Modal Adapter for Text-Video Retrieval

Text-video retrieval is an important multi-modal learning task, where th...

0 Haojun Jiang, et al. ∙

research

∙ 10/17/2022

Boosting Offline Reinforcement Learning via Data Rebalancing

Offline reinforcement learning (RL) is challenged by the distributional ...

5 Yang Yue, et al. ∙

research

∙ 10/17/2022

Contrastive Language-Image Pre-Training with Knowledge Graphs

Recent years have witnessed the fast development of large-scale pre-trai...

0 Xuran Pan, et al. ∙

research

∙ 10/13/2022

A Mixture of Surprises for Unsupervised Reinforcement Learning

Unsupervised reinforcement learning aims at learning a generalist policy...

0 Andrew Zhao, et al. ∙

research

∙ 10/12/2022

Efficient Knowledge Distillation from Model Checkpoints

Knowledge distillation is an effective approach to learn compact models ...

0 Chaofei Wang, et al. ∙

research

∙ 10/12/2022

Latency-aware Spatial-wise Dynamic Networks

Spatial-wise dynamic convolution has become a promising approach to impr...

0 Yizeng Han, et al. ∙

research

∙ 09/27/2022

AdaFocusV3: On Unified Spatial-temporal Dynamic Video Recognition

Recent research has revealed that reducing the temporal and spatial redu...

5 Yulin Wang, et al. ∙

research

∙ 09/18/2022

ActiveNeRF: Learning where to See with Uncertainty Estimation

Recently, Neural Radiance Fields (NeRF) has shown promising performances...

0 Xuran Pan, et al. ∙

research

∙ 09/17/2022

Learning to Weight Samples for Dynamic Early-exiting Networks

Early exiting is an effective paradigm for improving the inference effic...

0 Yizeng Han, et al. ∙

research

∙ 06/25/2022

Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning

Deep reinforcement learning (RL) algorithms suffer severe performance de...

6 Yang Yue, et al. ∙

research

∙ 06/09/2022

DiSparse: Disentangled Sparsification for Multitask Model Compression

Despite the popularity of Model Compression and Multitask Learning, how ...

0 Xinglong Sun, et al. ∙

research

∙ 06/02/2022

Siamese Image Modeling for Self-Supervised Vision Representation Learning

Self-supervised learning (SSL) has delivered superior performance on a v...

0 Chenxin Tao, et al. ∙

research

∙ 05/31/2022

Provable General Function Class Representation Learning in Multitask Bandits and MDPs

While multitask representation learning has become a popular approach in...

4 Rui Lu, et al. ∙

research

∙ 04/19/2022

SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation

Domain adaptive semantic segmentation attempts to make satisfactory dens...

8 Binhui Xie, et al. ∙

research

∙ 03/16/2022

Pseudo-Q: Generating Pseudo Language Queries for Visual Grounding

Visual grounding, i.e., localizing objects in images according to natura...

0 Haojun Jiang, et al. ∙

research

∙ 02/25/2022

Learn From the Past: Experience Ensemble Knowledge Distillation

Traditional knowledge distillation transfers "dark knowledge" of a pre-t...

0 Chaofei Wang, et al. ∙

research

∙ 02/14/2022

Domain Adaptation via Prompt Learning

Unsupervised domain adaption (UDA) aims to adapt models learned from a w...

0 Chunjiang Ge, et al. ∙

research

∙ 01/09/2022

Glance and Focus Networks for Dynamic Visual Recognition

Spatial redundancy widely exists in visual recognition tasks, i.e., disc...

15 Gao Huang, et al. ∙

research

∙ 01/03/2022

Vision Transformer with Deformable Attention

Transformers have recently shown superior performances on various vision...

0 Zhuofan Xia, et al. ∙

research

∙ 12/28/2021

AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition

Recent works have shown that the computational efficiency of video recog...

4 Yulin Wang, et al. ∙

research

∙ 12/09/2021

Exploring the Equivalence of Siamese Self-Supervised Learning via A Unified Gradient Framework

Self-supervised learning has shown its great potential to extract powerf...

0 Chenxin Tao, et al. ∙

research

∙ 12/09/2021

Searching Parameterized AP Loss for Object Detection

Loss functions play an important role in training deep-network-based obj...

0 Chenxin Tao, et al. ∙

research

∙ 12/08/2021

Assessing a Single Image in Reference-Guided Image Synthesis

Assessing the performance of Generative Adversarial Networks (GANs) has ...

0 Jiayi Guo, et al. ∙

research

∙ 12/06/2021

Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement Learning

Deep reinforcement learning (RL) agents are becoming increasingly profic...

0 Wenjie Shi, et al. ∙

research

∙ 11/29/2021

On the Integration of Self-Attention and Convolution

Convolution and self-attention are two powerful techniques for represent...

0 Xuran Pan, et al. ∙

Gao Huang

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