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20242026
most citedReferring Multi-Object Tracking with Diverse Dynamic Expressions

1 citations · 1 across the 4 of their papers we have counts for

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cs.CV2026

ArticuTable: Generating Instance-Level Interactive Rigid-Articulated 3D Tabletop Scenes from a Single Image

Kai Lv, Yibo Yin, Lijun Guo +3

Embodied agents benefit from 3D environments that combine visual fidelity to real-world observations with physical interactivity. Existing single-image tabletop reconstruction meth…

cs.CV2026

PGL-3D: Towards Progressive Geometric Learning for 3D Visual Query Localization

Liang Peng, Shizhuo Mu, Bohan Tan +6

3D Visual Query Localization (3DVQL) retrieves the latest contiguous occurrence of a queried object in an RGB--point-cloud sequence and predicts a 9-DoF cuboid for every response f…

cs.CV2026

LoopTrack: A Simple Baseline for Parameter-Efficient Transformer Tracking

Liang Peng, Chenxiao Li, Libo Zhang +2

Current Transformer-based tracking methods typically stack multiple Transformer blocks with separate parameters to model interactions between the target template and the search reg…

cs.CV2026

From Web to Pixels: Bringing Agentic Search into Visual Perception

Bokang Yang, Xinyi Sun, Kaituo Feng +3

Visual perception connects high-level semantic understanding to pixel-level perception, but most existing settings assume that the decisive evidence for identifying a target is alr…

cs.CV2026

Towards Visual Query Localization in the 3D World

Liang Peng, Bohan Tan, Zhipeng Zhang +4

Visual query localization (VQL) aims to predict the spatio-temporal response of the most recent occurrence in a sequence given a query. Currently, most research focuses on visual q…

cs.CV2025

DEGround: An Effective Baseline for Ego-centric 3D Visual Grounding with a Homogeneous Framework

Yani Zhang, Dongming Wu, Hao Shi +3

A core task in embodied intelligence is ego-centric 3D visual grounding. Existing methods typically adopt two-stage, heterogeneous pipelines that pair a detector with a separate gr…

cs.CV2024★ 1 cited

Referring Multi-Object Tracking with Diverse Dynamic Expressions

Yani Zhang, Dongming Wu, Wencheng Han +3

Referring understanding is a fundamental task that bridges natural language and visual content by localizing objects described in free-form expressions. However, existing works are…