Zhongdao Wang

Orcid: 0000-0002-4483-8783

According to our database1, Zhongdao Wang authored at least 42 papers between 2017 and 2024.

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

Timeline

2017
2018
2019
2020
2021
2022
2023
2024
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Online presence:

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Bibliography

2024
ReNeg: Learning Negative Embedding with Reward Guidance.
CoRR, 2024

Efficient 3D Perception on Multi-Sweep Point Cloud with Gumbel Spatial Pruning.
CoRR, 2024

QuadMamba: Learning Quadtree-based Selective Scan for Visual State Space Model.
CoRR, 2024

ReliOcc: Towards Reliable Semantic Occupancy Prediction via Uncertainty Learning.
CoRR, 2024

Taming Diffusion Prior for Image Super-Resolution with Domain Shift SDEs.
CoRR, 2024

OccFiner: Offboard Occupancy Refinement with Hybrid Propagation.
CoRR, 2024

Divide and Conquer: Language Models can Plan and Self-Correct for Compositional Text-to-Image Generation.
CoRR, 2024

QuadMamba: Learning Quadtree-based Selective Scan for Visual State Space Model.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Taming Diffusion Prior for Image Super-Resolution with Domain Shift SDEs.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

LogoSticker: Inserting Logos Into Diffusion Models for Customized Generation.
Proceedings of the Computer Vision - ECCV 2024, 2024

VEON: Vocabulary-Enhanced Occupancy Prediction.
Proceedings of the Computer Vision - ECCV 2024, 2024

OccGen: Generative Multi-modal 3D Occupancy Prediction for Autonomous Driving.
Proceedings of the Computer Vision - ECCV 2024, 2024

Segment, Lift and Fit: Automatic 3D Shape Labeling from 2D Prompts.
Proceedings of the Computer Vision - ECCV 2024, 2024

PIXART-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation.
Proceedings of the Computer Vision - ECCV 2024, 2024

DiffusionTrack: Point Set Diffusion Model for Visual Object Tracking.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

SparseOcc: Rethinking Sparse Latent Representation for Vision-Based Semantic Occupancy Prediction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
A Study of Using Synthetic Data for Effective Association Knowledge Learning.
Mach. Intell. Res., April, 2023

PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis.
CoRR, 2023

MetaBEV: Solving Sensor Failures for BEV Detection and Map Segmentation.
CoRR, 2023

MetaBEV: Solving Sensor Failures for 3D Detection and Map Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Identity-Seeking Self-Supervised Representation Learning for Generalizable Person Re-identification.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Adaptive Affinity for Associations in Multi-Target Multi-Camera Tracking.
IEEE Trans. Image Process., 2022

Generalizable Re-Identification from Videos with Cycle Association.
CoRR, 2022

Self-Supervised Learning via Maximum Entropy Coding.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Progressive-Granularity Retrieval Via Hierarchical Feature Alignment for Person Re-Identification.
Proceedings of the IEEE International Conference on Acoustics, 2022

How to Synthesize a Large-Scale and Trainable Micro-Expression Dataset?
Proceedings of the Computer Vision - ECCV 2022, 2022

Reliability-Aware Prediction via Uncertainty Learning for Person Image Retrieval.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Action Units That Constitute Trainable Micro-expressions (and A Large-scale Synthetic Dataset).
CoRR, 2021

Synthetic Data Are as Good as the Real for Association Knowledge Learning in Multi-object Tracking.
CoRR, 2021

Do Different Tracking Tasks Require Different Appearance Models?
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Node-Adaptive Multi-Graph Fusion Using Extreme Value Theory.
IEEE Signal Process. Lett., 2020

CycAs: Self-supervised Cycle Association for Learning Re-identifiable Descriptions.
Proceedings of the Computer Vision - ECCV 2020, 2020

Towards Real-Time Multi-Object Tracking.
Proceedings of the Computer Vision - ECCV 2020, 2020

Circle Loss: A Unified Perspective of Pair Similarity Optimization.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Softmax Dissection: Towards Understanding Intra- and Inter-Class Objective for Embedding Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Locality Aware Appearance Metric for Multi-Target Multi-Camera Tracking.
CoRR, 2019

Towards Real-Time Multi-Object Tracking.
CoRR, 2019

Softmax Dissection: Towards Understanding Intra- and Inter-clas Objective for Embedding Learning.
CoRR, 2019

Linkage Based Face Clustering via Graph Convolution Network.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Query Adaptive Late Fusion for Image Retrieval.
CoRR, 2018

2017
Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-identification.
Proceedings of the IEEE International Conference on Computer Vision, 2017


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