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