Haresh, Sanjay
- Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives
2023/11/30 by Kristen Grauman, Grauman, Kristen, Andrew Westbury +197 · 100 citations
Computer Science · #Human Pose and Action Recognition #Multimodal Machine Learning Applications #Anomaly Detection Techniques and Applications
- Habitat Synthetic Scenes Dataset (HSSD-200): An Analysis of 3D Scene Scale and Realism Tradeoffs for ObjectGoal Navigation
2023/06/20 by Mukul Khanna, Khanna, Mukul, Yongsen Mao +16 · 40 citations
Computer Science · Engineering · #Multimodal Machine Learning Applications #Advanced Image and Video Retrieval Techniques #Robotics and Sensor-Based Localization
- Unsupervised Action Segmentation by Joint Representation Learning and Online Clustering
2021/05/27 by Sateesh Kumar, Kumar, Sateesh, Sanjay Haresh +9 · 9 citations
Computer Science · #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human Pose and Action Recognition #Video Surveillance and Tracking Methods
- Learning by Aligning Videos in Time
2021/03/31 by Haresh, Sanjay, Kumar, Sateesh, Coskun, Huseyin +4 · 6 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- ClevrSkills: Compositional Language and Visual Reasoning in Robotics
2024/11/13 by Haresh, Sanjay, Dijkman, Daniel, Bhattacharyya, Apratim +1 · 5 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
- Towards Anomaly Detection in Dashcam Videos
2020/04/11 by Haresh, Sanjay, Kumar, Sateesh, Zia, M. Zeeshan +1 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Timestamp-Supervised Action Segmentation with Graph Convolutional Networks
2022/06/30 by Hamza Khan, Sanjay Haresh, Khan, Hamza +11 · 1 citation
Computer Science · #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Context-Aware Activity Recognition Systems #FOS: Computer and information sciences #Human Pose and Action Recognition