activity
20142026
most citedTraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions

233 citations · 902 across the 70 of their papers we have counts for

collaborators
Showing 2022Show all

6 papers · 1 filter

cs.CV2022★ 1 cited

PaCMO: Partner Dependent Human Motion Generation in Dyadic Human Activity using Neural Operators

Md Ashiqur Rahman, Jasorsi Ghosh, Hrishikesh Viswanath +2

We address the problem of generating 3D human motions in dyadic activities. In contrast to the concurrent works, which mainly focus on generating the motion of a single actor from…

cs.CV2022★ 2 cited

AdaFNIO: Adaptive Fourier Neural Interpolation Operator for video frame interpolation

Hrishikesh Viswanath, Md Ashiqur Rahman, Rashmi Bhaskara +1

We present, AdaFNIO - Adaptive Fourier Neural Interpolation Operator, a neural operator-based architecture to perform video frame interpolation. Current deep learning based methods…

cs.CV2022★ 9 cited

Placing Human Animations into 3D Scenes by Learning Interaction- and Geometry-Driven Keyframes

James F. Mullen, Divya Kothandaraman, Aniket Bera +1

We present a novel method for placing a 3D human animation into a 3D scene while maintaining any human-scene interactions in the animation. We use the notion of computing the most…

cs.SI2022★ 1 cited

Estimating Emotion Contagion on Social Media via Localized Diffusion in Dynamic Graphs

Trisha Mittal, Puneet Mathur, Rohan Chandra +5

We present a computational approach for estimating emotion contagion on social media networks. Built on a foundation of psychology literature, our approach estimates the degree to…

cs.CV2022★ 1 cited

3MASSIV: Multilingual, Multimodal and Multi-Aspect dataset of Social Media Short Videos

Vikram Gupta, Trisha Mittal, Puneet Mathur +5

We present 3MASSIV, a multilingual, multimodal and multi-aspect, expertly-annotated dataset of diverse short videos extracted from short-video social media platform - Moj. 3MASSIV…

cs.GR2022★ 13 cited

ENI: Quantifying Environment Compatibility for Natural Walking in Virtual Reality

Niall L. Williams, Aniket Bera, Dinesh Manocha

We present a novel metric to analyze the similarity between the physical environment and the virtual environment for natural walking in virtual reality. Our approach is general and…