3 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.CV2021★ 3 cited
DS-Net++: Dynamic Weight Slicing for Efficient Inference in CNNs and Transformers
Changlin Li, Guangrun Wang, Bing Wang +3
Dynamic networks have shown their promising capability in reducing theoretical computation complexity by adapting their architectures to the input during inference. However, their…
cs.CV2021★ 1 cited
Joint Depth and Normal Estimation from Real-world Time-of-flight Raw Data
Rongrong Gao, Na Fan, Changlin Li +2
We present a novel approach to joint depth and normal estimation for time-of-flight (ToF) sensors. Our model learns to predict the high-quality depth and normal maps jointly from T…