1 code implementation • 2 Jun 2022 • Yingfei Liu, Junjie Yan, Fan Jia, Shuailin Li, Qi Gao, Tiancai Wang, Xiangyu Zhang, Jian Sun
More specifically, we extend the 3D position embedding (3D PE) in PETR for temporal modeling.
1 code implementation • CVPR 2022 • Zhiyuan Liang, Tiancai Wang, Xiangyu Zhang, Jian Sun, Jianbing Shen
The tree energy loss is effective and easy to be incorporated into existing frameworks by combining it with a traditional segmentation loss.
1 code implementation • 10 Mar 2022 • Yingfei Liu, Tiancai Wang, Xiangyu Zhang, Jian Sun
Object query can perceive the 3D position-aware features and perform end-to-end object detection.
1 code implementation • 9 Dec 2021 • Lufan Ma, Tiancai Wang, Bin Dong, Jiangpeng Yan, Xiu Li, Xiangyu Zhang
Our IFR enjoys several advantages: 1) simulates an infinite-depth refinement network while only requiring parameters of single residual block; 2) produces high-level equilibrium instance features of global receptive field; 3) serves as a plug-and-play general module easily extended to most object recognition frameworks.
1 code implementation • NeurIPS 2021 • Bin Dong, Fangao Zeng, Tiancai Wang, Xiangyu Zhang, Yichen Wei
Moreover, the joint learning of unified query representation can greatly improve the detection performance of DETR.
Ranked #17 on
Instance Segmentation
on COCO test-dev
1 code implementation • 7 May 2021 • Fangao Zeng, Bin Dong, Yuang Zhang, Tiancai Wang, Xiangyu Zhang, Yichen Wei
Temporal modeling of objects is a key challenge in multiple-object tracking (MOT).
Ranked #2 on
Multi-Object Tracking
on DanceTrack
no code implementations • 25 Dec 2020 • Tiancai Wang, Xiangyu Zhang, Jian Sun
In this paper, we present an implicit feature pyramid network (i-FPN) for object detection.
1 code implementation • 3 Dec 2020 • Tiancai Wang, Tong Yang, Jiale Cao, Xiangyu Zhang
Object detectors usually achieve promising results with the supervision of complete instance annotations.
1 code implementation • 13 Aug 2020 • Jialian Wu, Liangchen Song, Tiancai Wang, Qian Zhang, Junsong Yuan
In the classification tree, as the number of parent class nodes are significantly less, their logits are less noisy and can be utilized to suppress the wrong/noisy logits existed in the fine-grained class nodes.
Ranked #5 on
Few-Shot Object Detection
on LVIS v1.0 val
1 code implementation • CVPR 2020 • Tiancai Wang, Tong Yang, Martin Danelljan, Fahad Shahbaz Khan, Xiangyu Zhang, Jian Sun
Human-object interaction (HOI) detection strives to localize both the human and an object as well as the identification of complex interactions between them.
no code implementations • ICCV 2019 • Tiancai Wang, Rao Muhammad Anwer, Muhammad Haris Khan, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao, Jorma Laaksonen
Our approach outperforms the state-of-the-art on all datasets.
1 code implementation • ICCV 2019 • Tiancai Wang, Rao Muhammad Anwer, Hisham Cholakkal, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao
We introduce a single-stage detection framework that combines the advantages of both fine-tuning pretrained models and training from scratch.