Hao Li

Affiliations:
  • Chinese University of Hong Kong, SAR, China
  • Tsinghua University, China (former)


According to our database1, Hao Li authored at least 15 papers between 2019 and 2024.

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

Timeline

2019
2020
2021
2022
2023
2024
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Legend:

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In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
SynerGen-VL: Towards Synergistic Image Understanding and Generation with Vision Experts and Token Folding.
CoRR, 2024

PUMA: Empowering Unified MLLM with Multi-granular Visual Generation.
CoRR, 2024

Parameter-Inverted Image Pyramid Networks.
CoRR, 2024

The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open World.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
JourneyDB: A Benchmark for Generative Image Understanding.
CoRR, 2023

JourneyDB: A Benchmark for Generative Image Understanding.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

NDC-Scene: Boost Monocular 3D Semantic Scene Completion in Normalized Device Coordinates Space.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Uni-Perceiver: Pre-training Unified Architecture for Generic Perception for Zero-shot and Few-shot Tasks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

AutoLoss-Zero: Searching Loss Functions from Scratch for Generic Tasks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Uni-Perceiver: Pre-training Unified Architecture for Generic Perception for Zero-shot and Few-shot Tasks.
CoRR, 2021

Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation.
Proceedings of the 9th International Conference on Learning Representations, 2021

2019
Improved Techniques for Training Adaptive Deep Networks.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019


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