1 code implementation • 1 Dec 2022 • Jialian Wu, JianFeng Wang, Zhengyuan Yang, Zhe Gan, Zicheng Liu, Junsong Yuan, Lijuan Wang
Specifically, GRiT consists of a visual encoder to extract image features, a foreground object extractor to localize objects, and a text decoder to generate open-set object descriptions.
Ranked #2 on Dense Captioning on Visual Genome
1 code implementation • 12 Mar 2022 • Sudhir Yarram, Jialian Wu, Pan Ji, Yi Xu, Junsong Yuan
To improve the training efficiency, we propose Deformable VisTR, leveraging spatio-temporal deformable attention module that only attends to a small fixed set of key spatio-temporal sampling points around a reference point.
no code implementations • CVPR 2022 • Jialian Wu, Sudhir Yarram, Hui Liang, Tian Lan, Junsong Yuan, Jayan Eledath, Gerard Medioni
In addition, VisTR is not fully end-to-end learnable in multiple video clips as it requires a hand-crafted data association to link instance tracklets between successive clips.
1 code implementation • CVPR 2021 • Jialian Wu, Jiale Cao, Liangchen Song, Yu Wang, Ming Yang, Junsong Yuan
Most online multi-object trackers perform object detection stand-alone in a neural net without any input from tracking.
Ranked #1 on Instance Segmentation on nuScenes
no code implementations • ICCV 2021 • Liangchen Song, Jialian Wu, Ming Yang, Qian Zhang, Yuan Li, Junsong Yuan
This task is confronted with two challenges: how to establish the 3D correspondences from views to the BEV map and how to assemble occupancy information across views.
Ranked #7 on Multiview Detection on MultiviewX
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
no code implementations • CVPR 2020 • Jialian Wu, Chunluan Zhou, Ming Yang, Qian Zhang, Yuan Li, Junsong Yuan
State-of-the-art pedestrian detectors have performed promisingly on non-occluded pedestrians, yet they are still confronted by heavy occlusions.
Ranked #18 on Pedestrian Detection on Caltech