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20182026
most citedLearning to Listen: Modeling Non-Deterministic Dyadic Facial Motion

3 citations · 6 across the 9 of their papers we have counts for

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15 papers · 1 filter

cs.CV2026

Back into Plato's Cave: Examining Cross-modal Representational Convergence at Scale

A. Sophia Koepke, Daniil Zverev, Shiry Ginosar +1

The Platonic Representation Hypothesis suggests that neural networks trained on different modalities (e.g., text and images) align and eventually converge toward the same represent…

cs.CV2026

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…

cs.CV2025

Frozen Forecasting: A Unified Evaluation

Jacob C Walker, Pedro Vélez, Luisa Polania Cabrera +7

Forecasting future events is a fundamental capability for general-purpose systems that plan or act across different levels of abstraction. Yet, evaluating whether a forecast is "co…

cs.CV2025

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…

cs.CV2025

Gaussian Masked Autoencoders

Jathushan Rajasegaran, Xinlei Chen, Rulilong Li +3

This paper explores Masked Autoencoders (MAE) with Gaussian Splatting. While reconstructive self-supervised learning frameworks such as MAE learns good semantic abstractions, it is…

cs.CV2024

Synergy and Synchrony in Couple Dances

Vongani Maluleke, Lea Müller, Jathushan Rajasegaran +4

This paper asks to what extent social interaction influences one's behavior. We study this in the setting of two dancers dancing as a couple. We first consider a baseline in which…