4 citations · 6 across the 4 of their papers we have counts for
5 papers
Forecasting Motion in the Wild
Neerja Thakkar, Shiry Ginosar, Jacob Walker +3
Visual intelligence requires anticipating the future behavior of agents, yet vision systems lack a general representation for motion and behavior. We propose dense point trajectori…
Poly-Autoregressive Prediction for Modeling Interactions
Neerja Thakkar, Tara Sadjadpour, Jathushan Rajasegaran +2
We introduce a simple framework for predicting the behavior of an agent in multi-agent settings. In contrast to autoregressive (AR) tasks, such as language processing, our focus is…
Adaptive Human Trajectory Prediction via Latent Corridors
Neerja Thakkar, Karttikeya Mangalam, Andrea Bajcsy +1
Human trajectory prediction is typically posed as a zero-shot generalization problem: a predictor is learnt on a dataset of human motion in training scenes, and then deployed on un…
Manipulator as a Tail: Promoting Dynamic Stability for Legged Locomotion
Huang Huang, Antonio Loquercio, Ashish Kumar +3
For locomotion, is an arm on a legged robot a liability or an asset for locomotion? Biological systems evolved additional limbs beyond legs that facilitates postural control. This…
Studying Bias in GANs through the Lens of Race
Vongani H. Maluleke, Neerja Thakkar, Tim Brooks +5
In this work, we study how the performance and evaluation of generative image models are impacted by the racial composition of their training datasets. By examining and controlling…