Jun Wang

According to our database, Jun Wang authored at least 15 papers between 2020 and 2024.

Collaborative distances:

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

2024

ProVision: Programmatically Scaling Vision-centric Instruction Data for Multimodal Language Models.

Jieyu Zhang, Le Xue, Linxin Song, Jun Wang, Weikai Huang, Manli Shu, An Yan, Zixian Ma, Juan Carlos Niebles, Silvio Savarese, Caiming Xiong, Zeyuan Chen, Ranjay Krishna, Ran Xu

CoRR, 2024

BLIP3-KALE: Knowledge Augmented Large-Scale Dense Captions.

Anas Awadalla, Le Xue, Manli Shu, An Yan, Jun Wang, Senthil Purushwalkam, Sheng Shen, Hannah Lee, Oscar Lo, Jae Sung Park, Etash Guha, Silvio Savarese, Ludwig Schmidt, Yejin Choi, Caiming Xiong, Ran Xu

CoRR, 2024

xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations.

Can Qin, Congying Xia, Krithika Ramakrishnan, Michael S. Ryoo, Lifu Tu, Yihao Feng, Manli Shu, Honglu Zhou, Anas Awadalla, Jun Wang, Senthil Purushwalkam, Le Xue, Yingbo Zhou, Huan Wang, Silvio Savarese, Juan Carlos Niebles, Zeyuan Chen, Ran Xu, Caiming Xiong

CoRR, 2024

xGen-MM (BLIP-3): A Family of Open Large Multimodal Models.

Le Xue, Manli Shu, Anas Awadalla, Jun Wang, An Yan, Senthil Purushwalkam, Honglu Zhou, Viraj Prabhu, Yutong Dai, Michael S. Ryoo, Shrikant Kendre, Jieyu Zhang, Can Qin, Shu Zhang, Chia-Chih Chen, Ning Yu, Juntao Tan, Tulika Manoj Awalgaonkar, Shelby Heinecke, Huan Wang, Yejin Choi, Ludwig Schmidt, Zeyuan Chen, Silvio Savarese, Juan Carlos Niebles, Caiming Xiong, Ran Xu

CoRR, 2024

EVE: Enabling Anyone to Train Robot using Augmented Reality.

Jun Wang, Chun-Cheng Chang, Jiafei Duan, Dieter Fox, Ranjay Krishna

CoRR, 2024

EVE: Enabling Anyone to Train Robots using Augmented Reality.

Jun Wang, Chun-Cheng Chang, Jiafei Duan, Dieter Fox, Ranjay Krishna

Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology, 2024

2023

Deep Learning for Scene perception and Understanding.

Jun Wang

PhD thesis, 2023

Align and Attend: Multimodal Summarization with Dual Contrastive Losses.

Bo He, Jun Wang, Jielin Qiu, Trung Bui, Abhinav Shrivastava, Zhaowen Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Number-Adaptive Prototype Learning for 3D Point Cloud Semantic Segmentation.

Yangheng Zhao, Jun Wang, Xiaolong Li, Yue Hu, Ce Zhang, Yanfeng Wang, Siheng Chen

CoRR, 2022

M3DETR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers.

Tianrui Guan, Jun Wang, Shiyi Lan, Rohan Chandra, Zuxuan Wu, Larry Davis, Dinesh Manocha

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

ESSumm: Extractive Speech Summarization from Untranscribed Meeting.

Jun Wang

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Number-Adaptive Prototype Learning for 3D Point Cloud Semantic Segmentation.

Yangheng Zhao, Jun Wang, Xiaolong Li, Yue Hu, Ce Zhang, Yanfeng Wang, Siheng Chen

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

PointMotionNet: Point-Wise Motion Learning for Large-Scale LiDAR Point Clouds Sequences.

Jun Wang, Xiaolong Li, Alan Sullivan, A. Lynn Abbott, Siheng Chen

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

TAG: Boosting Text-VQA via Text-aware Visual Question-answer Generation.

Jun Wang, Mingfei Gao, Yuqian Hu, Ramprasaath R. Selvaraju, Chetan Ramaiah, Ran Xu, Joseph F. JáJá, Larry Davis

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2020

InfoFocus: 3D Object Detection for Autonomous Driving with Dynamic Information Modeling.

Jun Wang, Shiyi Lan, Mingfei Gao, Larry S. Davis

Proceedings of the Computer Vision - ECCV 2020, 2020