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Found 7 papers, 2 papers with code
Egocentric RGB+Depth Action Recognition in Industry-Like Settings
Our work focuses on recognizing actions from egocentric RGB and Depth modalities in an industry-like environment.
Ensemble Modeling for Multimodal Visual Action Recognition
In this work, we propose an ensemble modeling approach for multimodal action recognition.
3DMODT: Attention-Guided Affinities for Joint Detection & Tracking in 3D Point Clouds
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.
Self-Supervised Video Object Segmentation via Cutout Prediction and Tagging
We propose a novel self-supervised Video Object Segmentation (VOS) approach that strives to achieve better object-background discriminability for accurate object segmentation.
Tag-Based Attention Guided Bottom-Up Approach for Video Instance Segmentation
Video Instance Segmentation is a fundamental computer vision task that deals with segmenting and tracking object instances across a video sequence.
Florida Wildlife Camera Trap Dataset
Trail camera imagery has increasingly gained popularity amongst biologists for conservation and ecological research.
PC-DAN: Point Cloud based Deep Affinity Network for 3D Multi-Object Tracking (Accepted as an extended abstract in JRDB-ACT Workshop at CVPR21)
In recent times, the scope of LIDAR (Light Detection and Ranging) sensor-based technology has spread across numerous fields.
