Zhizheng Zhang

research

∙ 07/26/2023

Adaptive Frequency Filters As Efficient Global Token Mixers

Recent vision transformers, large-kernel CNNs and MLPs have attained rem...

0 Zhipeng Huang, et al. ∙

research

∙ 06/02/2023

Responsible Task Automation: Empowering Large Language Models as Responsible Task Automators

The recent success of Large Language Models (LLMs) signifies an impressi...

0 Zhizheng Zhang, et al. ∙

research

∙ 04/25/2023

Learning Trajectories are Generalization Indicators

The aim of this paper is to investigate the connection between learning ...

0 Jingwen Fu, et al. ∙

research

∙ 04/11/2023

MRVM-NeRF: Mask-Based Pretraining for Neural Radiance Fields

Most Neural Radiance Fields (NeRFs) have poor generalization ability, li...

0 Ganlin Yang, et al. ∙

research

∙ 03/09/2023

Unifying Layout Generation with a Decoupled Diffusion Model

Layout generation aims to synthesize realistic graphic scenes consisting...

0 Mude Hui, et al. ∙

research

∙ 01/21/2023

Versatile Neural Processes for Learning Implicit Neural Representations

Representing a signal as a continuous function parameterized by neural n...

0 Zongyu Guo, et al. ∙

research

∙ 07/05/2022

Image Coding for Machines with Omnipotent Feature Learning

Image Coding for Machines (ICM) aims to compress images for AI tasks ana...

0 Ruoyu Feng, et al. ∙

research

∙ 03/23/2022

Deep Frequency Filtering for Domain Generalization

Improving the generalization capability of Deep Neural Networks (DNNs) i...

9 Shiqi Lin, et al. ∙

research

∙ 03/11/2022

ActiveMLP: An MLP-like Architecture with Active Token Mixer

This paper presents ActiveMLP, a general MLP-like backbone for computer ...

0 Guoqiang Wei, et al. ∙

research

∙ 01/28/2022

Mask-based Latent Reconstruction for Reinforcement Learning

For deep reinforcement learning (RL) from pixels, learning effective sta...

0 Tao Yu, et al. ∙

research

∙ 12/26/2021

Learning Cross-Scale Prediction for Efficient Neural Video Compression

In this paper, we present the first neural video codec that can compete ...

13 Zongyu Guo, et al. ∙

research

∙ 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...

10 Zhipeng Huang, et al. ∙

research

∙ 12/06/2021

SelectAugment: Hierarchical Deterministic Sample Selection for Data Augmentation

Data augmentation (DA) has been widely investigated to facilitate model ...

0 Shiqi Lin, et al. ∙

research

∙ 11/30/2021

MMPTRACK: Large-scale Densely Annotated Multi-camera Multiple People Tracking Benchmark

Multi-camera tracking systems are gaining popularity in applications tha...

5 Xiaotian Han, et al. ∙

research

∙ 11/26/2021

Confounder Identification-free Causal Visual Feature Learning

Confounders in deep learning are in general detrimental to model's gener...

0 Xin Li, et al. ∙

research

∙ 11/05/2021

Versatile Learned Video Compression

Learned video compression methods have demonstrated great promise in cat...

8 Runsen Feng, et al. ∙

research

∙ 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...

8 Kecheng Zheng, et al. ∙

research

∙ 06/30/2021

Dual Aspect Self-Attention based on Transformer for Remaining Useful Life Prediction

Remaining useful life prediction (RUL) is one of the key technologies of...

0 Zhizheng Zhang, et al. ∙

research

∙ 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 ...

3 Zhizheng Zhang, et al. ∙

research

∙ 12/17/2020

Learned Block-based Hybrid Image Compression

Learned image compression based on neural networks have made huge progre...

10 Yaojun Wu, et al. ∙

research

∙ 12/16/2020

Exploiting Sample Uncertainty for Domain Adaptive Person Re-Identification

Many unsupervised domain adaptive (UDA) person re-identification (ReID) ...

0 Kecheng Zheng, et al. ∙

research

∙ 12/11/2020

Learning Omni-frequency Region-adaptive Representations for Real Image Super-Resolution

Traditional single image super-resolution (SISR) methods that focus on s...

0 Xin Li, et al. ∙

research

∙ 11/19/2020

Latent-Separated Global Prediction for Learned Image Compression

Over the past several years, we have witnessed the impressive progress o...

1 Zongyu Guo, et al. ∙

research

∙ 11/09/2020

A Syntactic Approach to Studying Strongly Equivalent Logic Programs

In the field of Answer Set Programming (ASP), two logic programs are str...

0 Bin Wang, et al. ∙

research

∙ 10/09/2020

Uncertainty-Aware Few-Shot Image Classification

Few-shot image classification aims to learn to recognize new categories ...

0 Zhizheng Zhang, et al. ∙

research

∙ 06/08/2020

Rethinking Classification Loss Designs for Person Re-identification with a Unified View

Person Re-identification (ReID) aims at matching a person of interest ac...

0 Zhizheng Zhang, et al. ∙

research

∙ 05/16/2020

Multi-scale Grouped Dense Network for VVC Intra Coding

Versatile Video Coding (H.266/VVC) standard achieves better image qualit...

7 Xin Li, et al. ∙

research

∙ 03/27/2020

Multi-Granularity Reference-Aided Attentive Feature Aggregation for Video-based Person Re-identification

Video-based person re-identification (reID) aims at matching the same pe...

0 Zhizheng Zhang, et al. ∙

research

∙ 11/23/2019

Region Normalization for Image Inpainting

Feature Normalization (FN) is an important technique to help neural netw...

17 Tao Yu, et al. ∙

research

∙ 09/18/2019

On the Strong Equivalences of LPMLN Programs

By incorporating the methods of Answer Set Programming (ASP) and Markov ...

0 Bin Wang, et al. ∙

research

∙ 09/09/2019

On the Strong Equivalences for LPMLN Programs

LPMLN is a powerful knowledge representation and reasoning tool that com...

0 Bin Wang, et al. ∙

research

∙ 06/08/2019

A Coarse-to-Fine Framework for Learned Color Enhancement with Non-Local Attention

Automatic color enhancement are aimed to automaticly and adaptively adju...

0 Chaowei Shan, et al. ∙

research

∙ 04/17/2019

CaseNet: Content-Adaptive Scale Interaction Networks for Scene Parsing

Objects in an image exhibit diverse scales. Adaptive receptive fields ar...

0 Xin Jin, et al. ∙

research

∙ 04/05/2019

Relation-Aware Global Attention

Attention mechanism aims to increase the representation power by focusin...

0 Zhizheng Zhang, et al. ∙

research

∙ 03/03/2019

Asynchronous Episodic Deep Deterministic Policy Gradient: Towards Continuous Control in Computationally Complex Environments

Deep Deterministic Policy Gradient (DDPG) has been proved to be a succes...

0 Zhizheng Zhang, et al. ∙

research

∙ 12/22/2018

Learned Scalable Image Compression with Bidirectional Context Disentanglement Network

In this paper, we propose a learned scalable/progressive image compressi...

0 Zhizheng Zhang, et al. ∙

research

∙ 12/21/2018

Densely Semantically Aligned Person Re-Identification

We propose a densely semantically aligned person re-identification (re-I...

24 Zhizheng Zhang, et al. ∙

research

∙ 04/02/2018

Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments

In the NIPS 2017 Learning to Run challenge, participants were tasked wit...

0 Łukasz Kidziński, et al. ∙

research

∙ 05/14/2014

ESmodels: An Epistemic Specification Solver

(To appear in Theory and Practice of Logic Programming (TPLP)) ESmodel...

0 Zhizheng Zhang, et al. ∙

Zhizheng Zhang

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