activity
20202026
most citedIA-MOT: Instance-Aware Multi-Object Tracking with Motion Consistency

13 citations · 26 across the 9 of their papers we have counts for

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7 papers · 1 filter

cs.CV2026

Decoupling Vision and Language: Codebook Anchored Visual Adaptation

Jason Wu, Tianchen Zhao, Chang Liu +7

Large Vision-Language Models (LVLMs) use their vision encoders to translate images into representations for downstream reasoning, but the encoders often underperform in domain-spec…

cs.CV2026

Talk2Move: Reinforcement Learning for Text-Instructed Object-Level Geometric Transformation in Scenes

Jing Tan, Zhaoyang Zhang, Yantao Shen +6

We introduce Talk2Move, a reinforcement learning (RL) based diffusion framework for text-instructed spatial transformation of objects within scenes. Spatially manipulating objects…

cs.CV2024

Hyperbolic Learning with Synthetic Captions for Open-World Detection

Fanjie Kong, Yanbei Chen, Jiarui Cai +1

Open-world detection poses significant challenges, as it requires the detection of any object using either object class labels or free-form texts. Existing related works often use…

cs.CV2022

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…

cs.CV202111 cited

ACE: Ally Complementary Experts for Solving Long-Tailed Recognition in One-Shot

Jiarui Cai, Yizhou Wang, Jenq-Neng Hwang

One-stage long-tailed recognition methods improve the overall performance in a "seesaw" manner, i.e., either sacrifice the head's accuracy for better tail classification or elevate…

cs.CV2021

Multi-Target Multi-Camera Tracking of Vehicles using Metadata-Aided Re-ID and Trajectory-Based Camera Link Model

Hung-Min Hsu, Jiarui Cai, Yizhou Wang +2

In this paper, we propose a novel framework for multi-target multi-camera tracking (MTMCT) of vehicles based on metadata-aided re-identification (MA-ReID) and the trajectory-based…