29 citations · 45 across the 5 of their papers we have counts for
7 papers · 1 filter
SSL-Interactions: Pretext Tasks for Interactive Trajectory Prediction
Prarthana Bhattacharyya, Chengjie Huang, Krzysztof Czarnecki
This paper addresses motion forecasting in multi-agent environments, pivotal for ensuring safety of autonomous vehicles. Traditional as well as recent data-driven marginal trajecto…
SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving
Prarthana Bhattacharyya, Chengjie Huang, Krzysztof Czarnecki
Self-supervised learning (SSL) is an emerging technique that has been successfully employed to train convolutional neural networks (CNNs) and graph neural networks (GNNs) for more…
Visual Representation Learning with Self-Supervised Attention for Low-Label High-data Regime
Prarthana Bhattacharyya, Chenge Li, Xiaonan Zhao +2
Self-supervision has shown outstanding results for natural language processing, and more recently, for image recognition. Simultaneously, vision transformers and its variants have…
3D Scene Understanding at Urban Intersection using Stereo Vision and Digital Map
Prarthana Bhattacharyya, Yanlei Gu, Jiali Bao +2
The driving behavior at urban intersections is very complex. It is thus crucial for autonomous vehicles to comprehensively understand challenging urban traffic scenes in order to n…
SA-Det3D: Self-Attention Based Context-Aware 3D Object Detection
Prarthana Bhattacharyya, Chengjie Huang, Krzysztof Czarnecki
Existing point-cloud based 3D object detectors use convolution-like operators to process information in a local neighbourhood with fixed-weight kernels and aggregate global context…
Deformable PV-RCNN: Improving 3D Object Detection with Learned Deformations
Prarthana Bhattacharyya, Krzysztof Czarnecki
We present Deformable PV-RCNN, a high-performing point-cloud based 3D object detector. Currently, the proposal refinement methods used by the state-of-the-art two-stage detectors c…
FANTrack: 3D Multi-Object Tracking with Feature Association Network
Erkan Baser, Venkateshwaran Balasubramanian, Prarthana Bhattacharyya +1
We propose a data-driven approach to online multi-object tracking (MOT) that uses a convolutional neural network (CNN) for data association in a tracking-by-detection framework. Th…