Search Results for author: Cheng-You Lu

Found 3 papers, 2 papers with code

NeuralODF: Learning Omnidirectional Distance Fields for 3D Shape Representation

no code implementations12 Jun 2022 Trevor Houchens, Cheng-You Lu, Shivam Duggal, Rao Fu, Srinath Sridhar

We propose Omnidirectional Distance Fields (ODFs), a new 3D shape representation that encodes geometry by storing the depth to the object's surface from any 3D position in any viewing direction.

3D Shape Representation

Weakly-Supervised Image Semantic Segmentation Using Graph Convolutional Networks

1 code implementation31 Mar 2021 Shun-Yi Pan, Cheng-You Lu, Shih-Po Lee, Wen-Hsiao Peng

One common approach to this task is to propagate the activation scores of Class Activation Maps (CAMs) using a random-walk mechanism in order to arrive at complete pseudo labels for training a semantic segmentation network in a fully-supervised manner.

Weakly-Supervised Semantic Segmentation

Video Rescaling Networks with Joint Optimization Strategies for Downscaling and Upscaling

1 code implementation CVPR 2021 Yan-Cheng Huang, Yi-Hsin Chen, Cheng-You Lu, Hui-Po Wang, Wen-Hsiao Peng, Ching-Chun Huang

Our Long Short-Term Memory Video Rescaling Network (LSTM-VRN) leverages temporal information in the low-resolution video to form an explicit prediction of the missing high-frequency information for upscaling.

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