Infer Induced Sentiment of Comment Response to Video: A New Task, Dataset and Baseline

Autor: Jia, Qi, Fan, Baoyu, Xu, Cong, Liu, Lu, Jin, Liang, Du, Guoguang, Guo, Zhenhua, Zhao, Yaqian, Huang, Xuanjing, Li, Rengang

Existing video multi-modal sentiment analysis mainly focuses on the sentiment expression of people within the video, yet often neglects the induced sentiment of viewers while watching the videos. Induced sentiment of viewers is essential for inferrin

Externí odkaz: http://arxiv.org/abs/2407.06115

Real-Aug: Realistic Scene Synthesis for LiDAR Augmentation in 3D Object Detection

Autor: Zhan, Jinglin, Liu, Tiejun, Li, Rengang, Zhang, Jingwei, Zhang, Zhaoxiang, Chen, Yuntao

Data and model are the undoubtable two supporting pillars for LiDAR object detection. However, data-centric works have fallen far behind compared with the ever-growing list of fancy new models. In this work, we systematically study the synthesis-base

Externí odkaz: http://arxiv.org/abs/2305.12853

SGED: A Benchmark dataset for Performance Evaluation of Spiking Gesture Emotion Recognition

Autor: Wang, Binqiang, Dong, Gang, Zhao, Yaqian, Li, Rengang, Cao, Lu, Lu, Lihua

In the field of affective computing, researchers in the community have promoted the performance of models and algorithms by using the complementarity of multimodal information. However, the emergence of more and more modal information makes the devel

Externí odkaz: http://arxiv.org/abs/2304.14714

SoccerNet 2022 Challenges Results

Autor: Giancola, Silvio, Cioppa, Anthony, Deliège, Adrien, Magera, Floriane, Somers, Vladimir, Kang, Le, Zhou, Xin, Barnich, Olivier, De Vleeschouwer, Christophe, Alahi, Alexandre, Ghanem, Bernard, Van Droogenbroeck, Marc, Darwish, Abdulrahman, Maglo, Adrien, Clapés, Albert, Luyts, Andreas, Boiarov, Andrei, Xarles, Artur, Orcesi, Astrid, Shah, Avijit, Fan, Baoyu, Comandur, Bharath, Chen, Chen, Zhang, Chen, Zhao, Chen, Lin, Chengzhi, Chan, Cheuk-Yiu, Hui, Chun Chuen, Li, Dengjie, Yang, Fan, Liang, Fan, Da, Fang, Yan, Feng, Yu, Fufu, Wang, Guanshuo, Chan, H. Anthony, Zhu, He, Kan, Hongwei, Chu, Jiaming, Hu, Jianming, Gu, Jianyang, Chen, Jin, Soares, João V. B., Theiner, Jonas, De Corte, Jorge, Brito, José Henrique, Zhang, Jun, Li, Junjie, Liang, Junwei, Shen, Leqi, Ma, Lin, Chen, Lingchi, Marques, Miguel Santos, Azatov, Mike, Kasatkin, Nikita, Wang, Ning, Jia, Qiong, Pham, Quoc Cuong, Ewerth, Ralph, Song, Ran, Li, Rengang, Gade, Rikke, Debien, Ruben, Zhang, Runze, Lee, Sangrok, Escalera, Sergio, Jiang, Shan, Odashima, Shigeyuki, Chen, Shimin, Masui, Shoichi, Ding, Shouhong, Chan, Sin-wai, Chen, Siyu, El-Shabrawy, Tallal, He, Tao, Moeslund, Thomas B., Siu, Wan-Chi, Zhang, Wei, Li, Wei, Wang, Xiangwei, Tan, Xiao, Li, Xiaochuan, Wei, Xiaolin, Ye, Xiaoqing, Liu, Xing, Wang, Xinying, Guo, Yandong, Zhao, Yaqian, Yu, Yi, Li, Yingying, He, Yue, Zhong, Yujie, Guo, Zhenhua, Li, Zhiheng

The SoccerNet 2022 challenges were the second annual video understanding challenges organized by the SoccerNet team. In 2022, the challenges were composed of 6 vision-based tasks: (1) action spotting, focusing on retrieving action timestamps in long

Externí odkaz: http://arxiv.org/abs/2210.02365

Deep Learning Compiler Load Balancing Optimization Method for Model Training

Autor: WANG Li, GAO Kai, ZHAO Yaqian, LI Rengang, CAO Fang, GUO Zhenhua

Publikováno v: Jisuanji kexue yu tansuo, Vol 18, Iss 1, Pp 111-126 (2024)

For computing-intensive artificial intelligence (AI) training tasks, the computational graph is more complex, and data loading, task division of the computational graph, and load balancing of task scheduling have become the key factors affecting the

Externí odkaz: https://doaj.org/article/745e0537fcd04fd78f65f5f59263d8a7