3 citations · 4 across the 5 of their papers we have counts for
5 papers
3DMODT: Attention-Guided Affinities for Joint Detection & Tracking in 3D Point Clouds
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 followe…
Self-Supervised Video Object Segmentation via Cutout Prediction and Tagging
Jyoti Kini, Fahad Shahbaz Khan, Salman Khan +1
We propose a novel self-supervised Video Object Segmentation (VOS) approach that strives to achieve better object-background discriminability for accurate object segmentation. Dist…
Tag-Based Attention Guided Bottom-Up Approach for Video Instance Segmentation
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. Most existing methods typically…
Florida Wildlife Camera Trap Dataset
Crystal Gagne, Jyoti Kini, Daniel Smith +1
Trail camera imagery has increasingly gained popularity amongst biologists for conservation and ecological research. Minimal human interference required to operate camera traps all…
PC-DAN: Point Cloud based Deep Affinity Network for 3D Multi-Object Tracking (Accepted as an extended abstract in JRDB-ACT Workshop at CVPR21)
Aakash Kumar, Jyoti Kini, Mubarak Shah +1
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 info…