Chi Zhang

Orcid: 0000-0002-5735-4454

Affiliations:
  • Nanyang Technological University, Interdisciplinary Graduate School, Singapore


According to our database1, Chi Zhang authored at least 42 papers between 2015 and 2024.

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Timeline

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Bibliography

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

GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splatting.
CoRR, 2023

Self-Supervised 3D Scene Flow Estimation and Motion Prediction using Local Rigidity Prior.
CoRR, 2023

Robust Geometry-Preserving Depth Estimation Using Differentiable Rendering.
CoRR, 2023

IT3D: Improved Text-to-3D Generation with Explicit View Synthesis.
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

Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image.
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

Distributed optimization for degenerate loss functions arising from over-parameterization.
Artif. Intell., 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

Collaborative Inference for Efficient Remote Monitoring.
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
Distributed Optimization for Over-Parameterized Learning.
CoRR, 2019

Decentralized Optimization with Edge Sampling.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 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
Second-Order Online Active Learning and Its Applications.
IEEE Trans. Knowl. Data Eng., 2018

Distributed multi-task classification: a decentralized online learning approach.
Mach. Learn., 2018

2016
ROM: A Robust Online Multi-task Learning Approach.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

SOAL: Second-Order Online Active Learning.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015
GazeTry: Swipe Text Typing Using Gaze.
Proceedings of the Annual Meeting of the Australian Special Interest Group for Computer Human Interaction, 2015


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