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检索条件"任意字段=2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2003"
6676 条 记 录,以下是131-140 订阅
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Learning Transferable Compound Expressions from Masked AutoEncoder Pretraining
Learning Transferable Compound Expressions from Masked AutoE...
收藏 引用
ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Qiu, Feng Du, Wining Zhang, Wei Liu, Chen Li, Lincheng Guo, Tianchen Yu, Xin Netease Fuxi AI Lab Guangzhou Peoples R China Univ Queensland Brisbane Qld Australia
Video-based Compound Expression recognition (CER) aims to identify compound expressions in everyday interactions per frame. Unlike rapid progress in Facial Expression recognition (FER) for the basic emotions (e.g., su... 详细信息
来源: 评论
GPT as Psychologist? Preliminary Evaluations for GPT-4V on Visual Affective Computing
GPT as Psychologist? Preliminary Evaluations for GPT-4V on V...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Lu, Hao Niu, Xuesong Wang, Jiyao Wang, Yin Hu, Qingyong Tang, Jiaqi Zhang, Yuting Yuan, Kaishen Huang, Bin Yu, Zitong He, Dengbo Deng, Shuiguang Chen, Hao Chen, Yingcong Shan, Shiguang Hong Kong Univ Sci & Technol Guangzhou Guangzhou Peoples R China Hong Kong Univ Sci & Technol Hong Kong Peoples R China Zhejiang Univ Beijing Inst Gen Artificial Intelligence Hangzhou Peoples R China Zhejiang Univ Hangzhou Peoples R China Great Bay Univ Portsmouth NH USA Beihang Univ Hangzhou Res Inst Beijing Peoples R China Chinese Acad Sci Inst Comp Technol Beijing Peoples R China
Multimodal large language models (MLLMs) are designed to process and integrate information from multiple sources, such as text, speech, images, and videos. Despite its success in language understanding, it is critical... 详细信息
来源: 评论
Enhancing Traffic Safety with Parallel Dense Video Captioning for End-to-End Event Analysis
Enhancing Traffic Safety with Parallel Dense Video Captionin...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Shoman, Maged Wang, Dongdong Aboah, Armstrong Abdel-Aty, Mohamed Univ Cent Florida Dept Civil Environm & Construct Engn Smart & Safe Transportat SST Lab Orlando FL 32816 USA North Dakota State Univ Dept Civil Construct & Environm Engn Fargo ND USA Univ Cent Florida Joint Appointment Dept Comp Sci Dept Civil Environm & Construct Engn Smart & Safe Transportat SST Lab Orlando FL USA
This paper introduces our solution for Track 2 in AI City Challenge 2024. The task aims to solve traffic safety description and analysis with the dataset of Woven Traffic Safety (WTS), a real-world Pedestrian-Centric ... 详细信息
来源: 评论
Event-Based Eye Tracking. AIS 2024 Challenge Survey
Event-Based Eye Tracking. AIS 2024 Challenge Survey
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Wang, Zuowen Gao, Chang Wu, Zongwei Conde, Marcos, V Timofte, Radu Liu, Shih-Chii Chen, Qinyu Zha, Zheng-jun Zhai, Wei Han, Han Liao, Bohao Wu, Yuliang Wan, Zengyu Wang, Zhong Cao, Yang Tan, Ganchao Chen, Jinze Pei, Yan Ru Bruers, Sasskia Crouzet, Sebastien McLelland, Douglas Coenen, Oliver Zhang, Baoheng Gao, Yizhao Li, Jingyuan So, Hayden Kwok-Hay Bich, Philippe Boretti, Chiara Prono, Luciano Lica, Mircea Dinucu-Jianu, David Griu, Catalin Lin, Xiaopeng Ren, Hongwei Cheng, Bojun Zhang, Xinan Vial, Valentin Yezzi, Anthony Tsai, James Univ Zurich Inst Neuroinformat Zurich Switzerland Swiss Fed Inst Technol Zurich Switzerland Delft Univ Technol Delft Netherlands Univ Wurzburg Wurzburg Germany Leiden Univ Leiden Netherlands Univ Sci & Technol China Hefei Anhui Peoples R China Brainchip Inc Laguna Hills CA USA Univ Hong Kong Hong Kong Peoples R China Politecn Torino Turin Italy Hong Kong Univ Sci & Technol Guangzhou Guangzhou Guangdong Peoples R China Georgia Inst Technol Atlanta GA 30332 USA
This survey reviews the AIS 2024 Event-Based Eye Tracking (EET) Challenge. The task of the challenge focuses on processing eye movement recorded with event cameras and predicting the pupil center of the eye. The chall... 详细信息
来源: 评论
Vim4Path: Self-Supervised vision Mamba for Histopathology Images
Vim4Path: Self-Supervised Vision Mamba for Histopathology Im...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Nasiri-Sarvi, Ali Vincent Quoc-Huy Trinh Rivaz, Hassan Hosseini, Mahdi S. Concordia Univ Dept Comp Sci & Software Engn CSSE Montreal PQ Canada Univ Montreal Inst Res Immunol & Canc Montreal PQ Canada Concordia Univ Dept Elect & Comp Engn ECE Montreal PQ Canada
Representation learning from Gigapixel Whole Slide Images (WSI) poses a significant challenge in computational pathology due to the complicated nature of tissue structures and the scarcity of labeled data. Multi-insta... 详细信息
来源: 评论
Recursive Joint Cross-Modal Attention for Multimodal Fusion in Dimensional Emotion recognition
Recursive Joint Cross-Modal Attention for Multimodal Fusion ...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Praveen, R. Gnana Alam, Jahangir Comp Res Inst Montreal CRIM Montreal PQ Canada
Though multimodal emotion recognition has achieved significant progress over recent years, the potential of rich synergic relationships across the modalities is not fully exploited. In this paper, we introduce Recursi... 详细信息
来源: 评论
Multi-View Spatial-Temporal Learning for Understanding Unusual Behaviors in Untrimmed Naturalistic Driving Videos
Multi-View Spatial-Temporal Learning for Understanding Unusu...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Huy-Hung Nguyen Chi Dai Tran Long Hoang Pham Duong Nguyen-Ngoc Tran Tai Huu-Phuong Tran Duong Khac Vu Quoc Pham-Nam Ho Ngoc Doan-Minh Huynh Hyung-Min Jeon Hyung-Joon Jeon Jae Wook Jeon Sungkyunkwan Univ Dept Elect & Comp Engn Suwon South Korea
The task of Naturalistic Driving Action recognition aims to detect and temporally localize distracting driving behavior in untrimmed videos. In this paper, we introduce our framework for Track 3 of the 8th AI City Cha... 详细信息
来源: 评论
SAM-CLIP: Merging vision Foundation Models towards Semantic and Spatial Understanding
SAM-CLIP: Merging Vision Foundation Models towards Semantic ...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Wang, Haoxiang Vasu, Pavan Kumar Anasosalu Faghri, Fartash Vemulapalli, Raviteja Farajtabar, Mehrdad Mehta, Sachin Rastegari, Mohammad Tuzel, Oncel Pouransari, Hadi Apple Cupertino CA 95014 USA Univ Illinois Urbana IL 61801 USA
The landscape of publicly available vision foundation models (VFMs), such as CLIP and Segment Anything Model (SAM), is expanding rapidly. VFMs are endowed with distinct capabilities stemming from their pre-training ob... 详细信息
来源: 评论
Beyond the Screen: Evaluating Deepfake Detectors under Moire pattern Effects
Beyond the Screen: Evaluating Deepfake Detectors under Moire...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Tariq, Razaib Heo, Minji Woo, Simon S. Tariq, Shahroz Sungkyunkwan Univ Seoul South Korea CSIROs Data61 Eveleigh Australia
The detection of deepfakes is crucial for mitigating the societal impact of falsified video content. Despite the development of various algorithms for this purpose, challenges arise for detectors in real-world scenari... 详细信息
来源: 评论
AAPL: Adding Attributes to Prompt Learning for vision-Language Models
AAPL: Adding Attributes to Prompt Learning for Vision-Langua...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Kim, Gahyeon Kim, Sohee Lee, Seokju Korea Inst Energy Technol KENTECH Naju South Korea
Recent advances in large pre-trained vision-language models have demonstrated remarkable performance on zero-shot downstream tasks. Building upon this, recent studies, such as CoOp and CoCoOp, have proposed the use of... 详细信息
来源: 评论