13 citations · 19 across the 4 of their papers we have counts for
5 papers
FlashOcc: Fast and Memory-Efficient Occupancy Prediction via Channel-to-Height Plugin
Zichen Yu, Changyong Shu, Jiajun Deng +6
Given the capability of mitigating the long-tail deficiencies and intricate-shaped absence prevalent in 3D object detection, occupancy prediction has become a pivotal component in…
3DPPE: 3D Point Positional Encoding for Multi-Camera 3D Object Detection Transformers
Changyong Shu, JIajun Deng, Fisher Yu +1
Transformer-based methods have swept the benchmarks on 2D and 3D detection on images. Because tokenization before the attention mechanism drops the spatial information, positional…
Few-Shot Head Swapping in the Wild
Changyong Shu, Hemao Wu, Hang Zhou +7
The head swapping task aims at flawlessly placing a source head onto a target body, which is of great importance to various entertainment scenarios. While face swapping has drawn m…
Channel-wise Knowledge Distillation for Dense Prediction
Changyong Shu, Yifan Liu, Jianfei Gao +2
Knowledge distillation (KD) has been proven to be a simple and effective tool for training compact models. Almost all KD variants for dense prediction tasks align the student and t…
Knowledge Squeezed Adversarial Network Compression
Shu Changyong, Li Peng, Xie Yuan +3
Deep network compression has been achieved notable progress via knowledge distillation, where a teacher-student learning manner is adopted by using predetermined loss. Recently, mo…