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Neural Reconstruction and Rendering

December 5, 2022
Dr. Mohamed Elgharib Max Planck Institute for Informatics Monday, December 5, 2022 10:00AM – 11:00AM Zoom Abstract Digitizing the world around us is of increasing importance, with several applications in Extended Reality, movie and media production, telecommunications, medicine, video games, robotics, and many more. Digitisation involves three main stages: modeling, reconstruction and rendering. Modeling is […]

Using Hierarchies of Skills to Assess and Achieve Automatic Multimodal Comprehension

November 30, 2022
Dr. Ajay Divakaran SRI International Wednesday, November 30, 2022 4:00PM – 5:00PM ENG1 327 Abstract Unlike current visual question answering (VQA), elementary school (K-5) teaching of reading comprehension has a graded approach based on a hierarchy of skills ranging from memorization to content creation. We take inspiration from such hierarchies to investigate both dataset creation […]

Video Analysis – Motion Prediction and Object Tracking

November 28, 2022
Dr. Mohsen Zand Robotics and Computer Vision (RCV) Lab, Queen’s University Monday, November 28, 2022 2:00PM – 3:00PM Zoom Abstract A variety of applications, including moving object detection, motion prediction, object tracking, motion segmentation, event detection, and behavior understanding, are addressed in the current research disciplines of video analysis and interpretation. In this talk, I […]

Video Understanding: from Spatio-Temporal Representation Learning to Open-World Long-Term Reasoning

November 22, 2022
Dr. Du Tran Facebook AI Research Monday, November 21, 2022 2:00PM – 3:00PM Zoom Abstract Video understanding is one of the fundamental problems in computer vision with various applications, including autonomous vehicles, robot learning, and visual perception. Compared with traditional image understanding, video understanding: (i) has higher model complexity and requires learning from a much […]

Handwriting Recognition: A Perspective on Two Decades of Innovations

October 20, 2022
Dr. Venu Govindaraju National University at Buffalo Thursday, October 20, 2022 1:00PM – 2:00PM HEC 101 Abstract We present an overview of two decades of innovation in handwriting recognition at the Govindaraju lab at the University at Buffalo and offer a perspective on the evolution of research in this area and the future of the […]

Using ML to Power Live-stream Recommendations at a Global Scale

October 14, 2022
Dr. Omar Javed Twitch (an Amazon company) Friday, October 14, 2022 3:00PM – 4:00PM HEC 101 Abstract Twitch is a premier live social video platform with millions of unique streamers and tens of millions of daily viewers (who watched 1.3 trillion minutes of content in 2021). Recommendations are a major means of connecting viewers to […]

Segmenting and Anticipating Procedural Activities

June 28, 2022
Dr. Angela Yao National University of Singapore Tuesday, June 28, 2022 2:00PM – 3:00PM ENGI 327 / Zoom Abstract Videos of procedural activities are goal-oriented, with multiple steps or actions in a sequence over time. In this talk, I will outline our group’s efforts in developing methods for segmenting and anticipating actions in procedural videos. […]

Object-centric anomaly detection in video

June 16, 2022
Dr. Radu Ionescu University of Bucharest Wednesday, June 15, 2022 2:00PM – 3:00PM ENGI 327 / Zoom Abstract Anomaly detection in video is a challenging computer vision problem, as the classification of an event as normal or abnormal always depends on context. For instance, driving a truck on the street is considered normal, but, if […]

Using Hierarchies of Skills to Assess and Achieve Automatic Multimodal Comprehension

June 13, 2022
Dr. Ajay Divakaran SRI International Thursday, May 26, 2022 1:00PM – 2:00PM – Zoom Abstract We lay out a human learning-based framework for studying computational multimodal comprehension. Current visual question answering (VQA) systems treat all questions as equal and have no notion of comprehension. Elementary school (K-5) teaching of reading comprehension on the other hand […]