236 citations · 364 across the 20 of their papers we have counts for
32 papers
Similarity-Aware Fusion Network for 3D Semantic Segmentation
Linqing Zhao, Jiwen Lu, Jie Zhou
In this paper, we propose a similarity-aware fusion network (SAFNet) to adaptively fuse 2D images and 3D point clouds for 3D semantic segmentation. Existing fusion-based methods ac…
Global Filter Networks for Image Classification
Yongming Rao, Wenliang Zhao, Zheng Zhu +2
Recent advances in self-attention and pure multi-layer perceptrons (MLP) models for vision have shown great potential in achieving promising performance with fewer inductive biases…
WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition
Zheng Zhu, Guan Huang, Jiankang Deng +8
In this paper, we contribute a new million-scale face benchmark containing noisy 4M identities/260M faces (WebFace260M) and cleaned 2M identities/42M faces (WebFace42M) training da…
Rank-Consistency Deep Hashing for Scalable Multi-Label Image Search
Cheng Ma, Jiwen Lu, Jie Zhou
As hashing becomes an increasingly appealing technique for large-scale image retrieval, multi-label hashing is also attracting more attention for the ability to exploit multi-level…
SOSD-Net: Joint Semantic Object Segmentation and Depth Estimation from Monocular images
Lei He, Jiwen Lu, Guanghui Wang +2
Depth estimation and semantic segmentation play essential roles in scene understanding. The state-of-the-art methods employ multi-task learning to simultaneously learn models for t…
Weakly-Supervised Saliency Detection via Salient Object Subitizing
Xiaoyang Zheng, Xin Tan, Jie Zhou +2
Salient object detection aims at detecting the most visually distinct objects and producing the corresponding masks. As the cost of pixel-level annotations is high, image tags are…