34 citations · 86 across the 6 of their papers we have counts for
6 papers
GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image
Mingjian Zhu, Hanting Chen, Qiangyu Yan +7
The extraordinary ability of generative models to generate photographic images has intensified concerns about the spread of disinformation, thereby leading to the demand for detect…
MeMOT: Multi-Object Tracking with Memory
Jiarui Cai, Mingze Xu, Wei Li +4
We propose an online tracking algorithm that performs the object detection and data association under a common framework, capable of linking objects after a long time span. This is…
Learning UI Navigation through Demonstrations composed of Macro Actions
Wei Li
We have developed a framework to reliably build agents capable of UI navigation. The state space is simplified from raw-pixels to a set of UI elements extracted from screen underst…
Video 3D Sampling for Self-supervised Representation Learning
Wei Li, Dezhao Luo, Bo Fang +2
Most of the existing video self-supervised methods mainly leverage temporal signals of videos, ignoring that the semantics of moving objects and environmental information are all c…
Semi-TCL: Semi-Supervised Track Contrastive Representation Learning
Wei Li, Yuanjun Xiong, Shuo Yang +3
Online tracking of multiple objects in videos requires strong capacity of modeling and matching object appearances. Previous methods for learning appearance embedding mostly rely o…
SMOT: Single-Shot Multi Object Tracking
Wei Li, Yuanjun Xiong, Shuo Yang +2
We present single-shot multi-object tracker (SMOT), a new tracking framework that converts any single-shot detector (SSD) model into an online multiple object tracker, which emphas…