181 citations · 209 across the 11 of their papers we have counts for
11 papers
Asca: less audio data is more insightful
Xiang Li, Junhao Chen, Chao Li +1
Audio recognition in specialized areas such as birdsong and submarine acoustics faces challenges in large-scale pre-training due to the limitations in available samples imposed by…
KernelWarehouse: Towards Parameter-Efficient Dynamic Convolution
Chao Li, Anbang Yao
Dynamic convolution learns a linear mixture of static kernels weighted with their sample-dependent attentions, demonstrating superior performance compared to normal convolution…
Optimized Vectorizing of Building Structures with Switch: High-Efficiency Convolutional Channel-Switch Hybridization Strategy
Moule Lin, Weipeng Jing, Chao Li +1
The building planar graph reconstruction, a.k.a. footprint reconstruction, which lies in the domain of computer vision and geoinformatics, has been long afflicted with the challeng…
NORM: Knowledge Distillation via N-to-One Representation Matching
Xiaolong Liu, Lujun Li, Chao Li +1
Existing feature distillation methods commonly adopt the One-to-one Representation Matching between any pre-selected teacher-student layer pair. In this paper, we present N-to-One…
The Second Monocular Depth Estimation Challenge
Jaime Spencer, C. Stella Qian, Michaela Trescakova +40
This paper discusses the results for the second edition of the Monocular Depth Estimation Challenge (MDEC). This edition was open to methods using any form of supervision, includin…
MMBench: Benchmarking End-to-End Multi-modal DNNs and Understanding Their Hardware-Software Implications
Cheng Xu, Xiaofeng Hou, Jiacheng Liu +9
The explosive growth of various types of big data and advances in AI technologies have catalyzed a new type of workloads called multi-modal DNNs. Multi-modal DNNs are capable of in…
Omni-Dimensional Dynamic Convolution
Chao Li, Aojun Zhou, Anbang Yao
Learning a single static convolutional kernel in each convolutional layer is the common training paradigm of modern Convolutional Neural Networks (CNNs). Instead, recent research i…
DRKF: Distilled Rotated Kernel Fusion for Efficient Rotation Invariant Descriptors in Local Feature Matching
Ranran Huang, Jiancheng Cai, Chao Li +3
The performance of local feature descriptors degrades in the presence of large rotation variations. To address this issue, we present an efficient approach to learning rotation inv…
On The Design of a Light-weight FPGA Programming Framework for Graph Applications
Jing Wang, Jinyang Guo, Chao Li
FPGA accelerators designed for graph processing are gaining popularity. Domain Specific Language (DSL) frameworks for graph processing can reduce the programming complexity and dev…
Large Margin Structured Convolution Operator for Thermal Infrared Object Tracking
Peng Gao, Yipeng Ma, Ke Song +3
Compared with visible object tracking, thermal infrared (TIR) object tracking can track an arbitrary target in total darkness since it cannot be influenced by illumination variatio…
The overlap of neural selectivity between faces and words: evidences from the N170 adaptation effect
Xiao-hua Cao, Chao Li, Carl M Gaspar +1
Faces and words both evoke an N170, a strong electrophysiological response that is often used as a marker for the early stages of expert pattern perception. We examine the relation…