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20182023
most citedConvolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP

31 citations · 45 across the 10 of their papers we have counts for

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cs.CV2023

DCPT: Darkness Clue-Prompted Tracking in Nighttime UAVs

Jiawen Zhu, Huayi Tang, Zhi-Qi Cheng +5

Existing nighttime unmanned aerial vehicle (UAV) trackers follow an "Enhance-then-Track" architecture - first using a light enhancer to brighten the nighttime video, then employing…

cs.CV2023

Refined Temporal Pyramidal Compression-and-Amplification Transformer for 3D Human Pose Estimation

Hanbing Liu, Wangmeng Xiang, Jun-Yan He +4

Accurately estimating the 3D pose of humans in video sequences requires both accuracy and a well-structured architecture. With the success of transformers, we introduce the Refined…

cs.CV20231 cited

Towards Deeply Unified Depth-aware Panoptic Segmentation with Bi-directional Guidance Learning

Junwen He, Yifan Wang, Lijun Wang +6

Depth-aware panoptic segmentation is an emerging topic in computer vision which combines semantic and geometric understanding for more robust scene interpretation. Recent works pur…

cs.CV20232 cited

PoSynDA: Multi-Hypothesis Pose Synthesis Domain Adaptation for Robust 3D Human Pose Estimation

Hanbing Liu, Jun-Yan He, Zhi-Qi Cheng +8

Existing 3D human pose estimators face challenges in adapting to new datasets due to the lack of 2D-3D pose pairs in training sets. To overcome this issue, we propose \textit{Multi…

cs.CV202331 cited

Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP

Qihang Yu, Ju He, Xueqing Deng +2

Open-vocabulary segmentation is a challenging task requiring segmenting and recognizing objects from an open set of categories. One way to address this challenge is to leverage mul…

cs.CV20235 cited

Tracking Anything in High Quality

Jiawen Zhu, Zhenyu Chen, Zeqi Hao +9

Visual object tracking is a fundamental video task in computer vision. Recently, the notably increasing power of perception algorithms allows the unification of single/multiobject…