Chi Zhang

Orcid: 0000-0001-6344-2824

Affiliations:
  • Westlake University, School of Engineering, Hangzhou, China
  • Tencent, China (2022 - 2024)
  • Nanyang Technological University, School of Computer Science and Engineering, Singapore (PhD 2022)


According to our database1, Chi Zhang authored at least 72 papers between 2011 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Hard to Read, Easy to Jailbreak: How Visual Degradation Bypasses MLLM Safety Alignment.
CoRR, May, 2026

StyleAvatar3D: Leveraging Image-Text Diffusion Models for High-Fidelity 3D Avatar Generation.
IEEE J. Sel. Top. Signal Process., March, 2026

SwitchCraft: Training-Free Multi-Event Video Generation with Attention Controls.
CoRR, February, 2026

CRAFT-LoRA: Content-Style Personalization via Rank-Constrained Adaptation and Training-Free Fusion.
CoRR, February, 2026

SQLAgent: Learning to Explore Before Generating as a Data Engineer.
CoRR, February, 2026

Detail++: Training-Free Detail Enhancer for T2I Diffusion Models.
IEEE Trans. Image Process., 2026

Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025
VoiceBridge: Designing Latent Bridge Models for General Speech Restoration at Scale.
CoRR, September, 2025

Ultra3D: Efficient and High-Fidelity 3D Generation with Part Attention.
CoRR, July, 2025

FlowDirector: Training-Free Flow Steering for Precise Text-to-Video Editing.
CoRR, June, 2025

Video-Bench: Human-Aligned Video Generation Benchmark.
CoRR, April, 2025

ShapeGPT: 3D Shape Generation With a Unified Multi-Modal Language Model.
IEEE Trans. Multim., 2025

Learning to Be a Doctor: Searching for Effective Medical Agent Architectures.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

DreamFrame: Enhancing Video Understanding via Automatically Generated QA and Style-Consistent Keyframes.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

A Multimodal LLM for Chart Understanding and Generation.
Proceedings of the International Joint Conference on Neural Networks, 2025

Adaptive Mobile Agent for Dynamic Interactions.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Motionagent: Fine-Grained Controllable Video Generation via Motion Field Agent.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

MeshAnything V2: Artist-Created Mesh Generation with Adjacent Mesh Tokenization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Video-Bench: Human-Aligned Video Generation Benchmark.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

CADCrafter: Generating Computer-Aided Design Models from Unconstrained Images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

AppAgent: Multimodal Agents as Smartphone Users.
Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025

2024
Self-Supervised 3D Scene Flow Estimation and Motion Prediction Using Local Rigidity Prior.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Metric3D v2: A Versatile Monocular Geometric Foundation Model for Zero-Shot Metric Depth and Surface Normal Estimation.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers.
CoRR, 2024

MeshXL: Neural Coordinate Field for Generative 3D Foundation Models.
CoRR, 2024

MovieLLM: Enhancing Long Video Understanding with AI-Generated Movies.
CoRR, 2024

Learn to Optimize Denoising Scores: A Unified and Improved Diffusion Prior for 3D Generation.
Proceedings of the Computer Vision - ECCV 2024, 2024

M3DBench: Towards Omni 3D Assistant with Interleaved Multi-modal Instructions.
Proceedings of the Computer Vision - ECCV 2024, 2024

MotionChain: Conversational Motion Controllers via Multimodal Prompts.
Proceedings of the Computer Vision - ECCV 2024, 2024

GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splatting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

LL3DA: Visual Interactive Instruction Tuning for Omni-3D Understanding, Reasoning, and Planning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Enhanced Visual Instruction Tuning with Synthesized Image-Dialogue Data.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

IT3D: Improved Text-to-3D Generation with Explicit View Synthesis.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
DeepEMD: Differentiable Earth Mover's Distance for Few-Shot Learning.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Few-Shot Segmentation With Optimal Transport Matching and Message Flow.
IEEE Trans. Multim., 2023

Efficient Few-Shot Object Detection via Knowledge Inheritance.
IEEE Trans. Image Process., 2023

AppAgent: Multimodal Agents as Smartphone Users.
CoRR, 2023

M3DBench: Let's Instruct Large Models with Multi-modal 3D Prompts.
CoRR, 2023

Learn to Optimize Denoising Scores for 3D Generation: A Unified and Improved Diffusion Prior on NeRF and 3D Gaussian Splatting.
CoRR, 2023

FaceStudio: Put Your Face Everywhere in Seconds.
CoRR, 2023

ShapeGPT: 3D Shape Generation with A Unified Multi-modal Language Model.
CoRR, 2023

ChartLlama: A Multimodal LLM for Chart Understanding and Generation.
CoRR, 2023

StableLLaVA: Enhanced Visual Instruction Tuning with Synthesized Image-Dialogue Data.
CoRR, 2023

StyleAvatar3D: Leveraging Image-Text Diffusion Models for High-Fidelity 3D Avatar Generation.
CoRR, 2023

Robust Geometry-Preserving Depth Estimation Using Differentiable Rendering.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Label-Guided Knowledge Distillation for Continual Semantic Segmentation on 2D Images and 3D Point Clouds.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Tackling background ambiguities in multi-class few-shot point cloud semantic segmentation.
Knowl. Based Syst., 2022

CRCNet: Few-Shot Segmentation with Cross-Reference and Region-Global Conditional Networks.
Int. J. Comput. Vis., 2022

Hierarchical Normalization for Robust Monocular Depth Estimation.
CoRR, 2022

Efficient Few-Shot Object Detection via Knowledge Inheritance.
CoRR, 2022

Hierarchical Normalization for Robust Monocular Depth Estimation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Few-shot Open-set Recognition Using Background as Unknowns.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

RigidFlow: Self-Supervised Scene Flow Learning on Point Clouds by Local Rigidity Prior.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Few-shot visual understanding with deep neural networks
PhD thesis, 2021

CycleSegNet: Object Co-Segmentation With Cycle Refinement and Region Correspondence.
IEEE Trans. Image Process., 2021

Calibrating Class Activation Maps for Long-Tailed Visual Recognition.
CoRR, 2021

M2IOSR: Maximal Mutual Information Open Set Recognition.
CoRR, 2021

CycleSegNet: Object Co-segmentation with Cycle Refinement and Region Correspondence.
CoRR, 2021

Meta Navigator: Search for a Good Adaptation Policy for Few-shot Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Few-Shot Incremental Learning With Continually Evolved Classifiers.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Compositional Prototype Network with Multi-view Comparision for Few-Shot Point Cloud Semantic Segmentation.
CoRR, 2020

Open Set Recognition with Conditional Probabilistic Generative Models.
CoRR, 2020

Weakly Supervised Segmentation with Maximum Bipartite Graph Matching.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

DeepEMD: Few-Shot Image Classification With Differentiable Earth Mover's Distance and Structured Classifiers.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Conditional Gaussian Distribution Learning for Open Set Recognition.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

CRNet: Cross-Reference Networks for Few-Shot Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Pyramid Graph Networks With Connection Attentions for Region-Based One-Shot Semantic Segmentation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

CANet: Class-Agnostic Segmentation Networks With Iterative Refinement and Attentive Few-Shot Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Efficient eye typing with 9-direction gaze estimation.
Multim. Tools Appl., 2018

2011
Robust Control of High Speed High Precision Linear Motion System.
Proceedings of the Applied Informatics and Communication - International Conference, 2011


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