Deyao Zhu

According to our database, Deyao Zhu authored at least 18 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

ChatGPT Asks, BLIP-2 Answers: Automatic Questioning Towards Enriched Visual Descriptions.

Deyao Zhu, Jun Chen, Kilichbek Haydarov, Xiaoqian Shen, Wenxuan Zhang, Mohamed Elhoseiny

Trans. Mach. Learn. Res., 2024

How Well Can Vision Language Models See Image Details?

Chenhui Gou, Abdulwahab Felemban, Faizan Farooq Khan, Deyao Zhu, Jianfei Cai, Hamid Rezatofighi, Mohamed Elhoseiny

CoRR, 2024

MiniGPT-Med: Large Language Model as a General Interface for Radiology Diagnosis.

Asma Alkhaldi, Raneem Alnajim, Layan Alabdullatef, Rawan Alyahya, Jun Chen, Deyao Zhu, Ahmed Alsinan, Mohamed Elhoseiny

CoRR, 2024

MiniGPT4-Video: Advancing Multimodal LLMs for Video Understanding with Interleaved Visual-Textual Tokens.

Kirolos Ataallah, Xiaoqian Shen, Eslam Abdelrahman, Essam Sleiman, Deyao Zhu, Jian Ding, Mohamed Elhoseiny

CoRR, 2024

MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

Deyao Zhu, Jun Chen, Xiaoqian Shen, Xiang Li, Mohamed Elhoseiny

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Goldfish: Vision-Language Understanding of Arbitrarily Long Videos.

Kirolos Ataallah, Xiaoqian Shen, Eslam Abdelrahman, Essam Sleiman, Mingchen Zhuge, Jian Ding, Deyao Zhu, Jürgen Schmidhuber, Mohamed Elhoseiny

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning.

Jun Chen, Deyao Zhu, Xiaoqian Shen, Xiang Li, Zechun Liu, Pengchuan Zhang, Raghuraman Krishnamoorthi, Vikas Chandra, Yunyang Xiong, Mohamed Elhoseiny

CoRR, 2023

Exploring Open-Vocabulary Semantic Segmentation without Human Labels.

Jun Chen, Deyao Zhu, Guocheng Qian, Bernard Ghanem, Zhicheng Yan, Chenchen Zhu, Fanyi Xiao, Mohamed Elhoseiny, Sean Chang Culatana

CoRR, 2023

Video ChatCaptioner: Towards Enriched Spatiotemporal Descriptions.

Jun Chen, Deyao Zhu, Kilichbek Haydarov, Xiang Li, Mohamed Elhoseiny

CoRR, 2023

Guiding Online Reinforcement Learning with Action-Free Offline Pretraining.

Deyao Zhu, Yuhui Wang, Jürgen Schmidhuber, Mohamed Elhoseiny

CoRR, 2023

Value Memory Graph: A Graph-Structured World Model for Offline Reinforcement Learning.

Deyao Zhu, Li Erran Li, Mohamed Elhoseiny

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Exploring Open-Vocabulary Semantic Segmentation from CLIP Vision Encoder Distillation Only.

Jun Chen, Deyao Zhu, Guocheng Qian, Bernard Ghanem, Zhicheng Yan, Chenchen Zhu, Fanyi Xiao, Sean Chang Culatana, Mohamed Elhoseiny

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation.

Abduallah A. Mohamed, Deyao Zhu, Warren Vu, Mohamed Elhoseiny, Christian G. Claudel

Proceedings of the Computer Vision - ECCV 2022, 2022

RelTransformer: A Transformer-Based Long-Tail Visual Relationship Recognition.

Jun Chen, Aniket Agarwal, Sherif Abdelkarim, Deyao Zhu, Mohamed Elhoseiny

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

RelTransformer: Balancing the Visual Relationship Detection from Local Context, Scene and Memory.

Jun Chen, Aniket Agarwal, Sherif Abdelkarim, Deyao Zhu, Mohamed Elhoseiny

CoRR, 2021

HalentNet: Multimodal Trajectory Forecasting with Hallucinative Intents.

Deyao Zhu, Mohamed Zahran, Li Erran Li, Mohamed Elhoseiny

Proceedings of the 9th International Conference on Learning Representations, 2021

Motion Forecasting with Unlikelihood Training in Continuous Space.

Deyao Zhu, Mohamed Zahran, Li Erran Li, Mohamed Elhoseiny

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2019

Learning to Disentangle Latent Physical Factors for Video Prediction.

Deyao Zhu, Marco Munderloh, Bodo Rosenhahn, Jörg Stückler

Proceedings of the Pattern Recognition, 2019