activity
20142024
most cited1-HKUST: Object Detection in ILSVRC 2014

4 citations · 5 across the 11 of their papers we have counts for

collaborators
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6 papers · 1 filter

cs.CV2024

COIN: Control-Inpainting Diffusion Prior for Human and Camera Motion Estimation

Jiefeng Li, Ye Yuan, Davis Rempe +5

Estimating global human motion from moving cameras is challenging due to the entanglement of human and camera motions. To mitigate the ambiguity, existing methods leverage learned…

cs.CV2024

Take A Step Back: Rethinking the Two Stages in Visual Reasoning

Mingyu Zhang, Jiting Cai, Mingyu Liu +3

Visual reasoning, as a prominent research area, plays a crucial role in AI by facilitating concept formation and interaction with the world. However, current works are usually carr…

cs.CV2024

DISCO: Embodied Navigation and Interaction via Differentiable Scene Semantics and Dual-level Control

Xinyu Xu, Shengcheng Luo, Yanchao Yang +2

Building a general-purpose intelligent home-assistant agent skilled in diverse tasks by human commands is a long-term blueprint of embodied AI research, which poses requirements on…

cs.CV2023

Visual-Tactile Sensing for In-Hand Object Reconstruction

Wenqiang Xu, Zhenjun Yu, Han Xue +3

Tactile sensing is one of the modalities humans rely on heavily to perceive the world. Working with vision, this modality refines local geometry structure, measures deformation at…

cs.CV20231 cited

Upcycling Models under Domain and Category Shift

Sanqing Qu, Tianpei Zou, Florian Roehrbein +4

Deep neural networks (DNNs) often perform poorly in the presence of domain shift and category shift. How to upcycle DNNs and adapt them to the target task remains an important open…

cs.CV20144 cited

1-HKUST: Object Detection in ILSVRC 2014

Cewu Lu, Hao Chen, Qifeng Chen +3

The Imagenet Large Scale Visual Recognition Challenge (ILSVRC) is the one of the most important big data challenges to date. We participated in the object detection track of ILSVRC…