activity
20122023
most citedPerceptual Losses for Real-Time Style Transfer and Super-Resolution

1.2k citations · 2.1k across the 51 of their papers we have counts for

collaborators

58 papers

cs.CV2023★ 28 cited

SoccerNet 2023 Challenges Results

Anthony Cioppa, Silvio Giancola, Vladimir Somers +99

The SoccerNet 2023 challenges were the third annual video understanding challenges organized by the SoccerNet team. For this third edition, the challenges were composed of seven vi…

cs.LG2023★ 4 cited

On Pitfalls of Test-Time Adaptation

Hao Zhao, Yuejiang Liu, Alexandre Alahi +1

Test-Time Adaptation (TTA) has recently emerged as a promising approach for tackling the robustness challenge under distribution shifts. However, the lack of consistent settings an…

cs.RO2023★ 16 cited

Principles and Guidelines for Evaluating Social Robot Navigation Algorithms

Anthony Francis, Claudia Pérez-D'Arpino, Chengshu Li +28

A major challenge to deploying robots widely is navigation in human-populated environments, commonly referred to as social robot navigation. While the field of social navigation ha…

cs.CV2023★ 8 cited

Toward Reliable Human Pose Forecasting with Uncertainty

Saeed Saadatnejad, Mehrshad Mirmohammadi, Matin Daghyani +6

Recently, there has been an arms race of pose forecasting methods aimed at solving the spatio-temporal task of predicting a sequence of future 3D poses of a person given a sequence…

cs.LG2023★ 10 cited

Predicting the long-term collective behaviour of fish pairs with deep learning

Vaios Papaspyros, Ramón Escobedo, Alexandre Alahi +3

Modern computing has enhanced our understanding of how social interactions shape collective behaviour in animal societies. Although analytical models dominate in studying collectiv…

cs.LG2023★ 2 cited

Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning

Yuejiang Liu, Alexandre Alahi, Chris Russell +4

Recent years have seen a surge of interest in learning high-level causal representations from low-level image pairs under interventions. Yet, existing efforts are largely limited t…