activity
20152023
most citedSoccerNet-Tracking: Multiple Object Tracking Dataset and Benchmark in Soccer Videos

133 citations · 329 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2023★ 1 cited

Fast Diffusion Probabilistic Model Sampling through the lens of Backward Error Analysis

Yansong Gao, Zhihong Pan, Xin Zhou +2

Denoising diffusion probabilistic models (DDPMs) are a class of powerful generative models. The past few years have witnessed the great success of DDPMs in generating high-fidelity…

cs.CV2023

Raising The Limit Of Image Rescaling Using Auxiliary Encoding

Chenzhong Yin, Zhihong Pan, Xin Zhou +2

Normalizing flow models using invertible neural networks (INN) have been widely investigated for successful generative image super-resolution (SR) by learning the transformation be…

cs.CV2022★ 37 cited

SoccerNet 2022 Challenges Results

Silvio Giancola, Anthony Cioppa, Adrien Deliège +91

The SoccerNet 2022 challenges were the second annual video understanding challenges organized by the SoccerNet team. In 2022, the challenges were composed of 6 vision-based tasks:…

cs.CV2022★ 2 cited

Diffusion Motion: Generate Text-Guided 3D Human Motion by Diffusion Model

Zhiyuan Ren, Zhihong Pan, Xin Zhou +1

We propose a simple and novel method for generating 3D human motion from complex natural language sentences, which describe different velocity, direction and composition of all kin…

cs.CV2022★ 133 cited

SoccerNet-Tracking: Multiple Object Tracking Dataset and Benchmark in Soccer Videos

Anthony Cioppa, Silvio Giancola, Adrien Deliege +5

Tracking objects in soccer videos is extremely important to gather both player and team statistics, whether it is to estimate the total distance run, the ball possession or the tea…

cs.CV2022★ 5 cited

ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal Action Localization

Bo He, Xitong Yang, Le Kang +3

Weakly-supervised temporal action localization aims to recognize and localize action segments in untrimmed videos given only video-level action labels for training. Without the bou…