Zhizheng Zhang

Orcid: 0009-0004-2031-918X

Affiliations:
  • Microsoft Research Asia, Beijing, China
  • University of Science and Technology of China, CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Hefei, Anhui (PhD 2021)


According to our database1, Zhizheng Zhang authored at least 59 papers between 2018 and 2024.

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Bibliography

2024
VisualCritic: Making LMMs Perceive Visual Quality Like Humans.
CoRR, 2024

RelationVLM: Making Large Vision-Language Models Understand Visual Relations.
CoRR, 2024

SeD: Semantic-Aware Discriminator for Image Super-Resolution.
CoRR, 2024

2023
Learning Cross-Scale Weighted Prediction for Efficient Neural Video Compression.
IEEE Trans. Image Process., 2023

Reinforced UI Instruction Grounding: Towards a Generic UI Task Automation API.
CoRR, 2023

When and Why Momentum Accelerates SGD: An Empirical Study.
CoRR, 2023

Responsible Task Automation: Empowering Large Language Models as Responsible Task Automators.
CoRR, 2023

MRVM-NeRF: Mask-Based Pretraining for Neural Radiance Fields.
CoRR, 2023

MMPTRACK: Large-scale Densely Annotated Multi-camera Multiple People Tracking Benchmark.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Image Coding for Machines based on Non-Uniform Importance Allocation.
Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2023

Learning Trajectories are Generalization Indicators.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

AReID: Rethinking Re-Identification and Occlusions for Multi-Object Tracking.
Proceedings of the International Conference on Machine Learning and Applications, 2023

Versatile Neural Processes for Learning Implicit Neural Representations.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Template-guided Hierarchical Feature Restoration for Anomaly Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Adaptive Frequency Filters As Efficient Global Token Mixers.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Deep Frequency Filtering for Domain Generalization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Unifying Layout Generation with a Decoupled Diffusion Model.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Active Token Mixer.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

SelectAugment: Hierarchical Deterministic Sample Selection for Data Augmentation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Beyond Triplet Loss: Meta Prototypical N-Tuple Loss for Person Re-identification.
IEEE Trans. Multim., 2022

Learned Block-Based Hybrid Image Compression.
IEEE Trans. Circuits Syst. Video Technol., 2022

Causal Contextual Prediction for Learned Image Compression.
IEEE Trans. Circuits Syst. Video Technol., 2022

ActiveMLP: An MLP-like Architecture with Active Token Mixer.
CoRR, 2022

Mask-based Latent Reconstruction for Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Image Coding for Machines with Omnipotent Feature Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

Lifelong Unsupervised Domain Adaptive Person Re-identification with Coordinated Anti-forgetting and Adaptation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Asynchronous Episodic Deep Deterministic Policy Gradient: Toward Continuous Control in Computationally Complex Environments.
IEEE Trans. Cybern., 2021

CASINet: Content-Adaptive Scale Interaction Networks for scene parsing.
Neurocomputing, 2021

Learning Cross-Scale Prediction for Efficient Neural Video Compression.
CoRR, 2021

SelectAugment: Hierarchical Deterministic Sample Selection for Data Augmentation.
CoRR, 2021

Confounder Identification-free Causal Visual Feature Learning.
CoRR, 2021

Versatile Learned Video Compression.
CoRR, 2021

Disentanglement-based Cross-Domain Feature Augmentation for Effective Unsupervised Domain Adaptive Person Re-identification.
CoRR, 2021

PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

ToAlign: Task-Oriented Alignment for Unsupervised Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Pose-Guided Feature Learning with Knowledge Distillation for Occluded Person Re-Identification.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Uncertainty-Aware Few-Shot Image Classification.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Soft then Hard: Rethinking the Quantization in Neural Image Compression.
Proceedings of the 38th International Conference on Machine Learning, 2021

Perceptual Friendly Variable Rate Image Compression.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Exploiting Sample Uncertainty for Domain Adaptive Person Re-Identification.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Learning Omni-Frequency Region-adaptive Representations for Real Image Super-Resolution.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Latent-Separated Global Prediction for Learned Image Compression.
CoRR, 2020

Rethinking Classification Loss Designs for Person Re-identification with a Unified View.
CoRR, 2020

Relation-Aware Global Attention for Person Re-Identification.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Multi-Granularity Reference-Aided Attentive Feature Aggregation for Video-Based Person Re-Identification.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Multi-scale Grouped Dense Network for VVC Intra Coding.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

3-D Context Entropy Model for Improved Practical Image Compression.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learned Video Compression with Feature-level Residuals.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Region Normalization for Image Inpainting.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
CaseNet: Content-Adaptive Scale Interaction Networks for Scene Parsing.
CoRR, 2019

Relation-Aware Global Attention.
CoRR, 2019

Asynchronous Episodic Deep Deterministic Policy Gradient: Towards Continuous Control in Computationally Complex Environments.
CoRR, 2019

Deep Scalable Image Compression via Hierarchical Feature Decorrelation.
Proceedings of the Picture Coding Symposium, 2019

Learned Scalable Image Compression with Bidirectional Context Disentanglement Network.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

360SRL: A Sequential Reinforcement Learning Approach for ABR Tile-Based 360 Video Streaming.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

A Coarse-to-Fine Framework for Learned Color Enhancement with Non-Local Attention.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Densely Semantically Aligned Person Re-Identification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments.
CoRR, 2018

Automating Robotic Furniture with A Collaborative Vision-based Sensing Scheme.
Proceedings of the 27th IEEE International Symposium on Robot and Human Interactive Communication, 2018


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