91 citations · 112 across the 15 of their papers we have counts for
16 papers
Robust Vision-Language Navigation with Awareness of Instruction-Execution Progress
Jiagan Huang, Zikun Zhou, Hongpeng Wang +3
In Vision-Language Navigation (VLN) tasks involving multi-step instructions as guidance, an agent must associate its observations with the relevant instruction content at each deci…
Efficient RGB-T Object Detection via Sparse Cross-Modality Fusion
Chao Tian, Zikun Zhou, Chao Yang +2
RGB-T detectors leverage the complementary strengths of visible and thermal infrared modalities, achieving robust performance under challenging conditions. Many of them resort to h…
Modality-Decoupled RGB-Thermal Object Detector via Query Fusion
Chao Tian, Zikun Zhou, Chao Yang +3
The advantage of RGB-Thermal (RGB-T) detection lies in its ability to perform modality fusion and integrate cross-modality complementary information, enabling robust detection unde…
Prototype Perturbation for Relaxing Alignment Constraints in Backward-Compatible Learning
Zikun Zhou, Yushuai Sun, Wenjie Pei +2
The traditional paradigm to update retrieval models requires re-computing the embeddings of the gallery data, a time-consuming and computationally intensive process known as backfi…
ZeroBP: Learning Position-Aware Correspondence for Zero-shot 6D Pose Estimation in Bin-Picking
Jianqiu Chen, Zikun Zhou, Xin Li +3
Bin-picking is a practical and challenging robotic manipulation task, where accurate 6D pose estimation plays a pivotal role. The workpieces in bin-picking are typically textureles…
Harnessing Vision-Language Pretrained Models with Temporal-Aware Adaptation for Referring Video Object Segmentation
Zikun Zhou, Wentao Xiong, Li Zhou +3
The crux of Referring Video Object Segmentation (RVOS) lies in modeling dense text-video relations to associate abstract linguistic concepts with dynamic visual contents at pixel-l…
RTracker: Recoverable Tracking via PN Tree Structured Memory
Yuqing Huang, Xin Li, Zikun Zhou +3
Existing tracking methods mainly focus on learning better target representation or developing more robust prediction models to improve tracking performance. While tracking performa…
Robust 3D Tracking with Quality-Aware Shape Completion
Jingwen Zhang, Zikun Zhou, Guangming Lu +2
3D single object tracking remains a challenging problem due to the sparsity and incompleteness of the point clouds. Existing algorithms attempt to address the challenges in two str…
Channel and Spatial Relation-Propagation Network for RGB-Thermal Semantic Segmentation
Zikun Zhou, Shukun Wu, Guoqing Zhu +2
RGB-Thermal (RGB-T) semantic segmentation has shown great potential in handling low-light conditions where RGB-based segmentation is hindered by poor RGB imaging quality. The key t…
Cross-Modality Proposal-guided Feature Mining for Unregistered RGB-Thermal Pedestrian Detection
Chao Tian, Zikun Zhou, Yuqing Huang +2
RGB-Thermal (RGB-T) pedestrian detection aims to locate the pedestrians in RGB-T image pairs to exploit the complementation between the two modalities for improving detection robus…
Reliability-Hierarchical Memory Network for Scribble-Supervised Video Object Segmentation
Zikun Zhou, Kaige Mao, Wenjie Pei +3
This paper aims to solve the video object segmentation (VOS) task in a scribble-supervised manner, in which VOS models are not only trained by the sparse scribble annotations but a…
Joint Visual Grounding and Tracking with Natural Language Specification
Li Zhou, Zikun Zhou, Kaige Mao +1
Tracking by natural language specification aims to locate the referred target in a sequence based on the natural language description. Existing algorithms solve this issue in two s…
Global Tracking via Ensemble of Local Trackers
Zikun Zhou, Jianqiu Chen, Wenjie Pei +3
The crux of long-term tracking lies in the difficulty of tracking the target with discontinuous moving caused by out-of-view or occlusion. Existing long-term tracking methods follo…
Saliency-Associated Object Tracking
Zikun Zhou, Wenjie Pei, Xin Li +3
Most existing trackers based on deep learning perform tracking in a holistic strategy, which aims to learn deep representations of the whole target for localizing the target. It is…
SiamCorners: Siamese Corner Networks for Visual Tracking
Kai Yang, Zhenyu He, Wenjie Pei +4
The current Siamese network based on region proposal network (RPN) has attracted great attention in visual tracking due to its excellent accuracy and high efficiency. However, the…
LSOTB-TIR:A Large-Scale High-Diversity Thermal Infrared Object Tracking Benchmark
Qiao Liu, Xin Li, Zhenyu He +8
In this paper, we present a Large-Scale and high-diversity general Thermal InfraRed (TIR) Object Tracking Benchmark, called LSOTBTIR, which consists of an evaluation dataset and a…