Events

Mr. Yue Wang University at Buffalo Monday, May 15, 2023 10:00AM – 11:00AM HEC 101A | Zoom Abstract Reinforcement learning has achieved remarkable success in various applications, such as video games, the game of Go, and the development of ChatGPT. However, most traditional reinforcement learning methods suffer from performance degradation due to the gap between...

Dr. Maryam Bagherian Yale University Monday, May 8, 2023 10:30AM – 11:00AM MSB 318 Abstract Distance metric learning is an approach in high-dimensional analysis which facilitates the exploration of underlying structures among data points in an effective and efficient manner. By learning a suitable distance metric, distance-based algorithms can better capture the intrinsic structure of...

Dr. Laura Brattain MIT Lincoln Laboratory Wednesday, May 3, 2023 3:30PM – 4:30PM COM 302 | Zoom Abstract With the rapid advances in artificial intelligence (AI), biomedical AI is poised to transform healthcare at scale. To spearhead the translation from bench to bedside, we need to go beyond standalone AI algorithms but instead endeavor to...

Dr. Cuneyt Akcora Manitoba University Tuesday, May 2, 2023 3:00PM – 4:00PM Zoom Abstract Recently, there has been an increasing interest among machine learning researchers in topological approaches. Topological Data Analysis (TDA) is an emerging field that combines algebraic topology, statistics, and computer science to analyze data sampled from a metric space and recover the...

Dr. Aritra Dutta University of Southern Denmark Monday, May 1, 2023 10:00AM – 11:00AM MSB 318 | Zoom Abstract When there is a lot of training data or the deep neural network is too large, distributed parallel training becomes essential, which refers to either data or model parallelism. In both cases, parallelism introduces various overheads...

Dr. Nare Karapetyan University of Maryland Tuesday, April 18, 2023 1:30PM – 2:30PM Zoom Abstract In the pursuit of understanding the world around us, significant efforts are dedicated to developing dependable autonomous systems capable of planning out exploration tasks. These tasks encompass a range of applications, such as scientific sampling, environmental monitoring, surveillance, and search...

Dr. Huaxiu Yao Stanford University Thursday, April 13, 2023 10:00AM – 11:00AM Zoom Abstract The real-world deployment of machine learning algorithms often poses challenges due to shifts in data distributions and tasks. These shifts can lead to a degradation in model performance, as the model may not have seen such changes during training. It can...

Dr. Siyu Huang Harvard University Tuesday, April 11, 2023 11:30AM – 12:30PM Zoom Abstract The real-world deployment of machine learning algorithms often poses challenges due to shifts in data distributions and tasks. These shifts can lead to a degradation in model performance, as the model may not have seen such changes during training. It can...

Dr. Ruben Villegas Google Brain Monday, April 10, 2023 11:00AM – 12:00PM Zoom Abstract Generative models of images have been making incredible progress in the past few years. This brings an opportunity for users to unleash their creativity and easily generate images with just a few words describing what they want to see. However, taking...

Dr. Paria Rashidinejad Berkeley AI Research Lab Wednesday, March 22, 2023 11:00AM – 12:00PM Zoom Abstract Despite impressive success in domains such as vision and language, machine learning is still far from reliable integration into many challenging real-world scenarios, such as healthcare, where the coverage of existing data and the ability to collect new, diverse...

Dr. Ramesh Raskar MIT Media Lab Friday, March 10, 2023 2:00PM – 3:00PM Zoom Abstract The invention of X-ray imaging enabled us to see inside our bodies. The invention of thermal infrared imaging enabled us to depict heat. So, over the last few centuries, the key to making the invisible visible was recording with new...

Dr. Sernam Lim Facebook AI Thursday, March 9, 2023 11:00AM – 12:00PM Zoom Abstract In this talk, I will focus on three of our most recent works with one having been published in CVPR2023 and two at ECCV2022. In all these works, our focus is on AI technologies that will actually work in the real...

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...

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...

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...

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...

Announcing the Final Examination of Sijie Zhu for the degree of Doctor of Philosophy in Computer Science...

Announcing the Final Examination of Aisha Urooj Khan for the degree of Doctor of Philosophy in Computer Science...

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...

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...