5 citations · 14 across the 8 of their papers we have counts for
8 papers
MV-DETR: Multi-modality indoor object detection by Multi-View DEtecton TRansformers
Zichao Dong, Yilin Zhang, Xufeng Huang +4
We introduce a novel MV-DETR pipeline which is effective while efficient transformer based detection method. Given input RGBD data, we notice that there are super strong pretrainin…
LVIC: Multi-modality segmentation by Lifting Visual Info as Cue
Zichao Dong, Bowen Pang, Xufeng Huang +3
Multi-modality fusion is proven an effective method for 3d perception for autonomous driving. However, most current multi-modality fusion pipelines for LiDAR semantic segmentation…
PeP: a Point enhanced Painting method for unified point cloud tasks
Zichao Dong, Hang Ji, Xufeng Huang +3
Point encoder is of vital importance for point cloud recognition. As the very beginning step of whole model pipeline, adding features from diverse sources and providing stronger fe…
HuBo-VLM: Unified Vision-Language Model designed for HUman roBOt interaction tasks
Zichao Dong, Weikun Zhang, Xufeng Huang +3
Human robot interaction is an exciting task, which aimed to guide robots following instructions from human. Since huge gap lies between human natural language and machine codes, en…
OG: Equip vision occupancy with instance segmentation and visual grounding
Zichao Dong, Hang Ji, Weikun Zhang +2
Occupancy prediction tasks focus on the inference of both geometry and semantic labels for each voxel, which is an important perception mission. However, it is still a semantic seg…
OVO: Open-Vocabulary Occupancy
Zhiyu Tan, Zichao Dong, Cheng Zhang +3
Semantic occupancy prediction aims to infer dense geometry and semantics of surroundings for an autonomous agent to operate safely in the 3D environment. Existing occupancy predict…
DSANet: Dynamic Segment Aggregation Network for Video-Level Representation Learning
Wenhao Wu, Yuxiang Zhao, Yanwu Xu +8
Long-range and short-range temporal modeling are two complementary and crucial aspects of video recognition. Most of the state-of-the-arts focus on short-range spatio-temporal mode…
DAF-NET: a saliency based weakly supervised method of dual attention fusion for fine-grained image classification
ZiChao Dong, JiLong Wu, TingTing Ren +2
Fine-grained image classification is a challenging problem, since the difficulty of finding discriminative features. To handle this circumstance, basically, there are two ways to g…