no code implementations • 28 May 2024 • Weitai Kang, Mengxue Qu, Jyoti Kini, Yunchao Wei, Mubarak Shah, Yan Yan
To achieve detection based on human intention, it relies on humans to observe the scene, reason out the target that aligns with their intention ("pillow" in this case), and finally provide a reference to the AI system, such as "A pillow on the couch".
1 code implementation • 25 Sep 2023 • Jyoti Kini, Sarah Fleischer, Ishan Dave, Mubarak Shah
Our work focuses on recognizing actions from egocentric RGB and Depth modalities in an industry-like environment.
1 code implementation • 10 Aug 2023 • Jyoti Kini, Sarah Fleischer, Ishan Dave, Mubarak Shah
In this work, we propose an ensemble modeling approach for multimodal action recognition.
no code implementations • 1 Nov 2022 • Jyoti Kini, Ajmal Mian, Mubarak Shah
We propose a method for joint detection and tracking of multiple objects in 3D point clouds, a task conventionally treated as a two-step process comprising object detection followed by data association.
no code implementations • 22 Apr 2022 • Jyoti Kini, Fahad Shahbaz Khan, Salman Khan, Mubarak Shah
We propose a novel self-supervised Video Object Segmentation (VOS) approach that strives to achieve better object-background discriminability for accurate object segmentation.
no code implementations • 22 Apr 2022 • Jyoti Kini, Mubarak Shah
Video Instance Segmentation is a fundamental computer vision task that deals with segmenting and tracking object instances across a video sequence.
no code implementations • 23 Jun 2021 • Crystal Gagne, Jyoti Kini, Daniel Smith, Mubarak Shah
Trail camera imagery has increasingly gained popularity amongst biologists for conservation and ecological research.
no code implementations • 3 Jun 2021 • Aakash Kumar, Jyoti Kini, Mubarak Shah, Ajmal Mian
In recent times, the scope of LIDAR (Light Detection and Ranging) sensor-based technology has spread across numerous fields.