3 citations · 6 across the 9 of their papers we have counts for
9 papers
Cross-View Open-Vocabulary Object Detection in Aerial Imagery
Jyoti Kini, Rohit Gupta, Mubarak Shah
Traditional object detection models are typically trained on a fixed set of classes, limiting their flexibility and making it costly to incorporate new categories. Open-vocabulary…
Intent3D: 3D Object Detection in RGB-D Scans Based on Human Intention
Weitai Kang, Mengxue Qu, Jyoti Kini +3
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 o…
Egocentric RGB+Depth Action Recognition in Industry-Like Settings
Jyoti Kini, Sarah Fleischer, Ishan Dave +1
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…
Ensemble Modeling for Multimodal Visual Action Recognition
Jyoti Kini, Sarah Fleischer, Ishan Dave +1
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 t…
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…