Event-Based Eye Tracking. AIS 2024 Challenge Survey

1 code implementation • 17 Apr 2024 • Zuowen Wang, Chang Gao, Zongwei Wu, Marcos V. Conde, Radu Timofte, Shih-Chii Liu, Qinyu Chen, Zheng-Jun Zha, Wei Zhai, Han Han, Bohao Liao, Yuliang Wu, Zengyu Wan, Zhong Wang, Yang Cao, Ganchao Tan, Jinze Chen, Yan Ru Pei, Sasskia Brüers, Sébastien Crouzet, Douglas McLelland, Oliver Coenen, Baoheng Zhang, Yizhao Gao, Jingyuan Li, Hayden Kwok-Hay So, Philippe Bich, Chiara Boretti, Luciano Prono, Mircea Lică, David Dinucu-Jianu, Cătălin Grîu, Xiaopeng Lin, Hongwei Ren, Bojun Cheng, Xinan Zhang, Valentin Vial, Anthony Yezzi, James Tsai

This survey reviews the AIS 2024 Event-Based Eye Tracking (EET) Challenge.

Event-based Asynchronous HDR Imaging by Temporal Incident Light Modulation

no code implementations • 14 Mar 2024 • Yuliang Wu, Ganchao Tan, Jinze Chen, Wei Zhai, Yang Cao, Zheng-Jun Zha

In this paper, we propose AsynHDR, a Pixel-Asynchronous HDR imaging system, based on key insights into the challenges in HDR imaging and the unique event-generating mechanism of Dynamic Vision Sensors (DVS).

Multi-Grained Spatio-Temporal Features Perceived Network for Event-Based Lip-Reading

no code implementations • CVPR 2022 • Ganchao Tan, Yang Wang, Han Han, Yang Cao, Feng Wu, Zheng-Jun Zha

To recognize words from the event data, we propose a novel Multi-grained Spatio-Temporal Features Perceived Network (MSTP) to perceive fine-grained spatio-temporal features from microsecond time-resolved event data.

Action Recognition Lip Reading

DeeperForensics Challenge 2020 on Real-World Face Forgery Detection: Methods and Results

2 code implementations • 18 Feb 2021 • Liming Jiang, Zhengkui Guo, Wayne Wu, Zhaoyang Liu, Ziwei Liu, Chen Change Loy, Shuo Yang, Yuanjun Xiong, Wei Xia, Baoying Chen, Peiyu Zhuang, Sili Li, Shen Chen, Taiping Yao, Shouhong Ding, Jilin Li, Feiyue Huang, Liujuan Cao, Rongrong Ji, Changlei Lu, Ganchao Tan

This paper reports methods and results in the DeeperForensics Challenge 2020 on real-world face forgery detection.

valid

Learning to Discretely Compose Reasoning Module Networks for Video Captioning

1 code implementation • 17 Jul 2020 • Ganchao Tan, Daqing Liu, Meng Wang, Zheng-Jun Zha

However, existing visual reasoning methods designed for visual question answering are not appropriate to video captioning, for it requires more complex visual reasoning on videos over both space and time, and dynamic module composition along the generation process.

Question Answering Sentence +3