Zhecan Wang

According to our database, Zhecan Wang authored at least 20 papers between 2015 and 2023.

Collaborative distances:

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

2023

CoBIT: A Contrastive Bi-directional Image-Text Generation Model.

Haoxuan You, Mandy Guo, Zhecan Wang, Kai-Wei Chang, Jason Baldridge, Jiahui Yu

CoRR, 2023

IdealGPT: Iteratively Decomposing Vision and Language Reasoning via Large Language Models.

Haoxuan You, Rui Sun, Zhecan Wang, Long Chen, Gengyu Wang, Hammad A. Ayyubi, Kai-Wei Chang, Shih-Fu Chang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Dataset Bias Mitigation in Multiple-Choice Visual Question Answering and Beyond.

Zhecan Wang, Long Chen, Haoxuan You, Keyang Xu, Yicheng He, Wenhao Li, Noel Codella, Kai-Wei Chang, Shih-Fu Chang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

UniFine: A Unified and Fine-grained Approach for Zero-shot Vision-Language Understanding.

Rui Sun, Zhecan Wang, Haoxuan You, Noel Codella, Kai-Wei Chang, Shih-Fu Chang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Multimodal Adaptive Distillation for Leveraging Unimodal Encoders for Vision-Language Tasks.

Zhecan Wang, Noel Codella, Yen-Chun Chen, Luowei Zhou, Xiyang Dai, Bin Xiao, Jianwei Yang, Haoxuan You, Kai-Wei Chang, Shih-Fu Chang, Lu Yuan

CoRR, 2022

CLIP-TD: CLIP Targeted Distillation for Vision-Language Tasks.

Zhecan Wang, Noel Codella, Yen-Chun Chen, Luowei Zhou, Jianwei Yang, Xiyang Dai, Bin Xiao, Haoxuan You, Shih-Fu Chang, Lu Yuan

CoRR, 2022

Find Someone Who: Visual Commonsense Understanding in Human-Centric Grounding.

Haoxuan You, Rui Sun, Zhecan Wang, Kai-Wei Chang, Shih-Fu Chang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Understanding ME? Multimodal Evaluation for Fine-grained Visual Commonsense.

Zhecan Wang, Haoxuan You, Yicheng He, Wenhao Li, Kai-Wei Chang, Shih-Fu Chang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

SGEITL: Scene Graph Enhanced Image-Text Learning for Visual Commonsense Reasoning.

Zhecan Wang, Haoxuan You, Liunian Harold Li, Alireza Zareian, Suji Park, Yiqing Liang, Kai-Wei Chang, Shih-Fu Chang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Graph-MLP: Node Classification without Message Passing in Graph.

Yang Hu, Haoxuan You, Zhecan Wang, Zhicheng Wang, Erjin Zhou, Yue Gao

CoRR, 2021

Unsupervised Vision-and-Language Pre-training Without Parallel Images and Captions.

Liunian Harold Li, Haoxuan You, Zhecan Wang, Alireza Zareian, Shih-Fu Chang, Kai-Wei Chang

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020

Weakly-supervised VisualBERT: Pre-training without Parallel Images and Captions.

Liunian Harold Li, Haoxuan You, Zhecan Wang, Alireza Zareian, Shih-Fu Chang, Kai-Wei Chang

CoRR, 2020

Learning to Detect Head Movement in Unconstrained Remote Gaze Estimation in the Wild.

Zhecan Wang, Jian Zhao, Cheng Lu, Han Huang, Fan Yang, Lianji Li, Yandong Guo

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Learning Visual Commonsense for Robust Scene Graph Generation.

Alireza Zareian, Zhecan Wang, Haoxuan You, Shih-Fu Chang

Proceedings of the Computer Vision - ECCV 2020, 2020

2017

Dual-Agent GANs for Photorealistic and Identity Preserving Profile Face Synthesis.

Jian Zhao, Lin Xiong, Jayashree Karlekar, Jianshu Li, Fang Zhao, Zhecan Wang, Sugiri Pranata, Shengmei Shen, Shuicheng Yan, Jiashi Feng

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

High Performance Large Scale Face Recognition with Multi-cognition Softmax and Feature Retrieval.

Yan Xu, Yu Cheng, Jian Zhao, Zhecan Wang, Lin Xiong, Jayashree Karlekar, Hajime Tamura, Tomoyuki Kagaya, Sugiri Pranata, Shengmei Shen, Jiashi Feng, Junliang Xing

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Know You at One Glance: A Compact Vector Representation for Low-Shot Learning.

Yu Cheng, Jian Zhao, Zhecan Wang, Yan Xu, Jayashree Karlekar, Shengmei Shen, Jiashi Feng

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Self-Supervised Neural Aggregation Networks for Human Parsing.

Jian Zhao, Jianshu Li, Xuecheng Nie, Fang Zhao, Yunpeng Chen, Zhecan Wang, Jiashi Feng, Shuicheng Yan

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

3D-Assisted Coarse-to-Fine Extreme-Pose Facial Landmark Detection.

Shengtao Xiao, Jianshu Li, Yunpeng Chen, Zhecan Wang, Jiashi Feng, Shuicheng Yan, Ashraf A. Kassim

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2015

Autonomous vehicles for remote sample collection in difficult conditions: Enabling remote sample collection by marine biologists.

Andrew Bennett, Victoria Preston, Jay Woo, Shivali Chandra, Devynn Diggins, Riley Chapman, Zhecan Wang, Matthew Rush, Liani Lye, Mindy Tieu, Silas Hughes, Iain Kerr, Adela Wee

Proceedings of the 2015 IEEE International Conference on Technologies for Practical Robot Applications, 2015