Zobrazeno 1 - 10
of 200
pro vyhledávání: '"Kini Jyoti"'
In real-life scenarios, humans seek out objects in the 3D world to fulfill their daily needs or intentions. This inspires us to introduce 3D intention grounding, a new task in 3D object detection employing RGB-D, based on human intention, such as "I
Externí odkaz:
http://arxiv.org/abs/2405.18295
Action recognition from an egocentric viewpoint is a crucial perception task in robotics and enables a wide range of human-robot interactions. While most computer vision approaches prioritize the RGB camera, the Depth modality - which can further amp
Externí odkaz:
http://arxiv.org/abs/2309.13962
In this work, we propose an ensemble modeling approach for multimodal action recognition. We independently train individual modality models using a variant of focal loss tailored to handle the long-tailed distribution of the MECCANO [21] dataset. Bas
Externí odkaz:
http://arxiv.org/abs/2308.05430
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. Our method embeds both steps into a single end-
Externí odkaz:
http://arxiv.org/abs/2211.00746
We propose a novel self-supervised Video Object Segmentation (VOS) approach that strives to achieve better object-background discriminability for accurate object segmentation. Distinct from previous self-supervised VOS methods, our approach is based
Externí odkaz:
http://arxiv.org/abs/2204.10846
Autor:
Kini, Jyoti, Shah, Mubarak
Video Instance Segmentation is a fundamental computer vision task that deals with segmenting and tracking object instances across a video sequence. Most existing methods typically accomplish this task by employing a multi-stage top-down approach that
Externí odkaz:
http://arxiv.org/abs/2204.10765
Autor:
Umakanthan, Srikanth, Katwaroo, Arun Rabindra, Bukelo, Maryann, BG, Shashidhar, Boralingaiah, Prashanth, Ranade, Anu V, Rangan, Pallavi, Shashidhar, Shabnam, Kini, Jyoti Ramanath, Kini, Gayathri
Publikováno v:
In American Journal of Medicine Open December 2024 12
Trail camera imagery has increasingly gained popularity amongst biologists for conservation and ecological research. Minimal human interference required to operate camera traps allows capturing unbiased species activities. Several studies - based on
Externí odkaz:
http://arxiv.org/abs/2106.12628
In recent times, the scope of LIDAR (Light Detection and Ranging) sensor-based technology has spread across numerous fields. It is popularly used to map terrain and navigation information into reliable 3D point cloud data, potentially revolutionizing
Externí odkaz:
http://arxiv.org/abs/2106.07552
Publikováno v:
Indian Journal of Pathology and Microbiology, Vol 53, Iss 1, Pp 194-195 (2010)
Externí odkaz:
https://doaj.org/article/ef9a0072d26842708ca5164b125061ff