140 citations · 919 across the 60 of their papers we have counts for
11 papers · 2 filters
Extracting Semantic Knowledge from GANs with Unsupervised Learning
Jianjin Xu, Zhaoxiang Zhang, Xiaolin Hu
Recently, unsupervised learning has made impressive progress on various tasks. Despite the dominance of discriminative models, increasing attention is drawn to representations lear…
BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision
Chenyu Yang, Yuntao Chen, Hao Tian +9
We present a novel bird's-eye-view (BEV) detector with perspective supervision, which converges faster and better suits modern image backbones. Existing state-of-the-art BEV detect…
4D Unsupervised Object Discovery
Yuqi Wang, Yuntao Chen, Zhaoxiang Zhang
Object discovery is a core task in computer vision. While fast progresses have been made in supervised object detection, its unsupervised counterpart remains largely unexplored. Wi…
Pro-tuning: Unified Prompt Tuning for Vision Tasks
Xing Nie, Bolin Ni, Jianlong Chang +6
In computer vision, fine-tuning is the de-facto approach to leverage pre-trained vision models to perform downstream tasks. However, deploying it in practice is quite challenging,…
MemoNav: Selecting Informative Memories for Visual Navigation
Hongxin Li, Xu Yang, Yuran Yang +2
Image-goal navigation is a challenging task, as it requires the agent to navigate to a target indicated by an image in a previously unseen scene. Current methods introduce diverse…
Densely Constrained Depth Estimator for Monocular 3D Object Detection
Yingyan Li, Yuntao Chen, Jiawei He +1
Estimating accurate 3D locations of objects from monocular images is a challenging problem because of lacking depth. Previous work shows that utilizing the object's keypoint projec…
Fully Sparse 3D Object Detection
Lue Fan, Feng Wang, Naiyan Wang +1
As the perception range of LiDAR increases, LiDAR-based 3D object detection becomes a dominant task in the long-range perception task of autonomous driving. The mainstream 3D objec…
DATA: Domain-Aware and Task-Aware Self-supervised Learning
Qing Chang, Junran Peng, Lingxie Xie +4
The paradigm of training models on massive data without label through self-supervised learning (SSL) and finetuning on many downstream tasks has become a trend recently. However, d…
Sparse Instance Activation for Real-Time Instance Segmentation
Tianheng Cheng, Xinggang Wang, Shaoyu Chen +5
In this paper, we propose a conceptually novel, efficient, and fully convolutional framework for real-time instance segmentation. Previously, most instance segmentation methods hea…
HP-Capsule: Unsupervised Face Part Discovery by Hierarchical Parsing Capsule Network
Chang Yu, Xiangyu Zhu, Xiaomei Zhang +3
Capsule networks are designed to present the objects by a set of parts and their relationships, which provide an insight into the procedure of visual perception. Although recent wo…
Emergence of Machine Language: Towards Symbolic Intelligence with Neural Networks
Yuqi Wang, Xu-Yao Zhang, Cheng-Lin Liu +1
Representation is a core issue in artificial intelligence. Humans use discrete language to communicate and learn from each other, while machines use continuous features (like vecto…