Focusnet++: Attentive aggregated transformations for efficient and accurate medical image segmentation, Chaitanya Kaul, Nick Pears, Hang Dai, Roderick Murray-Smith, Suresh Manandhar
Hang Dai

A human ear reconstruction autoencoder, Hao Sun, Nick Pears, Hang Dai
Hang Dai

P2V-RCNN: point to voxel feature learning for 3D object detection from point clouds, Jiale Li, Yu Sun, Shujie Luo, Ziqi Zhu, Hang Dai, Andrey S. Krylov, Yong Ding, Ling Shao
Hang Dai

Automatic schelling points detection from meshes, Geng Chen, Hang Dai, Tao Zhou, Jianbing Shen, Ling Shao
Hang Dai

Anchor-free 3D single stage detector with mask-guided attention for point cloud, Jiale Li, Hang Dai, Ling Shao, Yong Ding
Hang Dai

From voxel to point: IoU-guided 3D object detection for point cloud with voxel-to-point decoder, Jiale Li, Hang Dai, Ling Shao, Yong Ding
Hang Dai

C4AV: learning cross-modal representations from transformers, Shujie Luo, Hang Dai, Ling Shao, Yong Ding
Hang Dai

Video transformer for deepfake detection with incremental learning, Sohail Ahmed Khan, Hang Dai
Hang Dai

Penalizing small errors using an adaptive logarithmic loss, Chaitanya Kaul, Nick Pears, Hang Dai, Roderick Murray-Smith, Suresh Manandhar
Hang Dai

M3DSSD: monocular 3D single stage object detector, Shujie Luo, Hang Dai, Ling Shao, Yong Ding
Hang Dai

Commands for autonomous vehicles by progressively stacking visual-linguistic representations, Hang Dai, Shujie Luo, Yong Ding, Ling Shao
Hang Dai

3D IoU-Net: IoU Guided 3D object detector for point clouds, Jiale Li, Shujie Luo, Ziqi Zhu, Hang Dai, Andrey S. Krylov, Yong Ding, Ling Shao
Hang Dai

Adversarially robust deepfake media detection using fused convolutional neural network predictions, Sohail Ahmed Khan, Alessandro Artusi, Hang Dai
Hang Dai

Focusnet++: Attentive aggregated transformations for efficient and accurate medical image segmentation, Chaitanya Kaul, Nick Pears, Hang Dai, Roderick Murray-Smith, Suresh Manandhar
Computer Vision Faculty Publications

A human ear reconstruction autoencoder, Hao Sun, Nick Pears, Hang Dai
Computer Vision Faculty Publications