37 citations · 67 across the 7 of their papers we have counts for
7 papers
Rethinking skip connection model as a learnable Markov chain
Dengsheng Chen, Jie Hu, Wenwen Qiang +2
Over past few years afterward the birth of ResNet, skip connection has become the defacto standard for the design of modern architectures due to its widespread adoption, easy optim…
OpenFed: A Comprehensive and Versatile Open-Source Federated Learning Framework
Dengsheng Chen, Vince Tan, Zhilin Lu +1
Recent developments in Artificial Intelligence techniques have enabled their successful application across a spectrum of commercial and industrial settings. However, these techniqu…
Potential Convolution: Embedding Point Clouds into Potential Fields
Dengsheng Chen, Haowen Deng, Jun Li +3
Recently, various convolutions based on continuous or discrete kernels for point cloud processing have been widely studied, and achieve impressive performance in many applications,…
AReLU: Attention-based Rectified Linear Unit
Dengsheng Chen, Jun Li, Kai Xu
Element-wise activation functions play a critical role in deep neural networks via affecting the expressivity power and the learning dynamics. Learning-based activation functions h…
Learning Canonical Shape Space for Category-Level 6D Object Pose and Size Estimation
Dengsheng Chen, Jun Li, Zheng Wang +1
We present a novel approach to category-level 6D object pose and size estimation. To tackle intra-class shape variations, we learn canonical shape space (CASS), a unified represent…
Enhancement Mask for Hippocampus Detection and Segmentation
Dengsheng Chen, Wenxi Liu, You Huang +2
Detection and segmentation of the hippocampal structures in volumetric brain images is a challenging problem in the area of medical imaging. In this paper, we propose a two-stage 3…
Deformable Object Tracking with Gated Fusion
Wenxi Liu, Yibing Song, Dengsheng Chen +5
The tracking-by-detection framework receives growing attentions through the integration with the Convolutional Neural Networks (CNNs). Existing tracking-by-detection based methods,…