Zhizhong Zhang

Orcid: 0000-0001-6905-4478

Affiliations:
  • East China Normal University, School of Computer Science and Technology, Shanghai, China
  • Chinese Academy of Sciences, Institute of Automation, Research Center of Precision Sensing and Control, Beijing, China (PhD 2020)
  • University of Chinese Academy of Sciences, School of Artificial Intelligence, Shenzhen, China


According to our database1, Zhizhong Zhang authored at least 67 papers between 2019 and 2024.

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

Timeline

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Bibliography

2024
Uni-to-Multi Modal Knowledge Distillation for Bidirectional LiDAR-Camera Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Glass Makes Blurs: Learning the Visual Blurriness for Glass Surface Detection.
IEEE Trans. Ind. Informatics, April, 2024

Image Understands Point Cloud: Weakly Supervised 3D Semantic Segmentation via Association Learning.
IEEE Trans. Image Process., 2024

Dynamic image super-resolution via progressive contrastive self-distillation.
Pattern Recognit., 2024

Variational Distillation for Multi-View Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2024

Diffusion Implicit Policy for Unpaired Scene-aware Motion Synthesis.
CoRR, 2024

LLaCA: Multimodal Large Language Continual Assistant.
CoRR, 2024

Harmonizing Visual Text Comprehension and Generation.
CoRR, 2024

Mutual Information Guided Optimal Transport for Unsupervised Visible-Infrared Person Re-identification.
CoRR, 2024

Exploring the Untouched Sweeps for Conflict-Aware 3D Segmentation Pretraining.
CoRR, 2024

FastLGS: Speeding up Language Embedded Gaussians with Feature Grid Mapping.
CoRR, 2024

Gradient Projection For Parameter-Efficient Continual Learning.
CoRR, 2024

GEOcc: Geometrically Enhanced 3D Occupancy Network with Implicit-Explicit Depth Fusion and Contextual Self-Supervision.
CoRR, 2024

DEMOS: Dynamic Environment Motion Synthesis in 3D Scenes via Local Spherical-BEV Perception.
CoRR, 2024

Robust Pseudo-label Learning with Neighbor Relation for Unsupervised Visible-Infrared Person Re-Identification.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Mutual Positive and Negative Learning for Weakly-supervised Point Cloud Semantic Segmentation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Prompt Gradient Projection for Continual Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Multi-memory Matching for Unsupervised Visible-Infrared Person Re-identification.
Proceedings of the Computer Vision - ECCV 2024, 2024

Multi-modal In-Context Learning Makes an Ego-evolving Scene Text Recognizer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

COTR: Compact Occupancy TRansformer for Vision-Based 3D Occupancy Prediction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

PromptAD: Learning Prompts with only Normal Samples for Few-Shot Anomaly Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Building a Strong Pre-Training Baseline for Universal 3D Large-Scale Perception.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Isolation and Integration: A Strong Pre-trained Model-Based Paradigm for Class-Incremental Learning.
Proceedings of the Computational Visual Media - 12th International Conference, 2024

Explore and Enhance the Generalization of Anomaly DeepFake Detection.
Proceedings of the Computational Visual Media - 12th International Conference, 2024

Learning Task-Aware Language-Image Representation for Class-Incremental Object Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Beyond the Label Itself: Latent Labels Enhance Semi-supervised Point Cloud Panoptic Segmentation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Positive-Negative Receptive Field Reasoning for Omni-Supervised 3D Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Boosting Night-Time Scene Parsing With Learnable Frequency.
IEEE Trans. Image Process., 2023

Cross-stream contrastive learning for self-supervised skeleton-based action recognition.
Image Vis. Comput., 2023

Incremental Learning Based on Dual-Branch Network.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Improving Cross-Modal Recipe Retrieval with Component-Aware Prompted CLIP Embedding.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Unveiling the Power of CLIP in Unsupervised Visible-Infrared Person Re-Identification.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

CVTE-Poly: A New Benchmark for Chinese Polyphone Disambiguation.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

LiDAR-Camera Panoptic Segmentation via Geometry-Consistent and Semantic-Aware Alignment.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Instance and Category Supervision are Alternate Learners for Continual Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Dual Pseudo-Labels Interactive Self-Training for Semi-Supervised Visible-Infrared Person Re-Identification.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Rethinking Gradient Projection Continual Learning: Stability/Plasticity Feature Space Decoupling.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Multi-Centroid Task Descriptor for Dynamic Class Incremental Inference.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Self-supervised Contrastive Feature Refinement for Few-Shot Class-Incremental Learning.
Proceedings of the Computer-Aided Design and Computer Graphics, 2023

High-Resolution GAN Inversion for Degraded Images in Large Diverse Datasets.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
One-Step Multiview Subspace Segmentation via Joint Skinny Tensor Learning and Latent Clustering.
IEEE Trans. Cybern., 2022

Dual Mutual Learning for Cross-Modality Person Re-Identification.
IEEE Trans. Circuits Syst. Video Technol., 2022

Image Understands Point Cloud: Weakly Supervised 3D Semantic Segmentation via Association Learning.
CoRR, 2022

Attentive pooling for Group Activity Recognition.
CoRR, 2022

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results.
CoRR, 2022

Self-supervised Exclusive Learning for 3D Segmentation with Cross-Modal Unsupervised Domain Adaptation.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Hierarchical Walking Transformer for Object Re-Identification.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Not All Pixels Are Matched: Dense Contrastive Learning for Cross-Modality Person Re-Identification.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Cross-Domain and Cross-Modal Knowledge Distillation in Domain Adaptation for 3D Semantic Segmentation.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Self-Mimic Mutual-Distillation for Cross-Modality Person Re-Identification.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Optimal Transport for Label-Efficient Visible-Infrared Person Re-Identification.
Proceedings of the Computer Vision, 2022

Mutually Reinforcing Structure with Proposal Contrastive Consistency for Few-Shot Object Detection.
Proceedings of the Computer Vision - ECCV 2022, 2022

Optimization over Disentangled Encoding: Unsupervised Cross-Domain Point Cloud Completion via Occlusion Factor Manipulation.
Proceedings of the Computer Vision - ECCV 2022, 2022

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Task-Level Self-Supervision for Cross-Domain Few-Shot Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Improving Domain-Adaptive Person Re-Identification by Dual-Alignment Learning With Camera-Aware Image Generation.
IEEE Trans. Circuits Syst. Video Technol., 2021

Towards Compact Single Image Super-Resolution via Contrastive Self-distillation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Learn from Concepts: Towards the Purified Memory for Few-shot Learning.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Both Comparison and Induction are Indispensable for Cross-Domain Few-Shot Learning.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Non-Adversarial Novelty Detection with Generative Latent Nearest Neighbors.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Contrastive Learning for Compact Single Image Dehazing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Tensor Multi-Task Learning for Person Re-Identification.
IEEE Trans. Image Process., 2020

Learning to Align via Wasserstein for Person Re-Identification.
IEEE Trans. Image Process., 2020

A Deep Nonnegative Matrix Factorization Approach via Autoencoder for Nonlinear Fault Detection.
IEEE Trans. Ind. Informatics, 2020

Multi-scale 2D Representation Learning for weakly-supervised moment retrieval.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Effective Image Retrieval via Multilinear Multi-Index Fusion.
IEEE Trans. Multim., 2019


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