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20212026
most citedDeep Learning Techniques for In-Crop Weed Identification: A Review

80 citations · 102 across the 16 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cs.CV2023

Autoregressive Omni-Aware Outpainting for Open-Vocabulary 360-Degree Image Generation

Zhuqiang Lu, Kun Hu, Chaoyue Wang +2

A 360-degree (omni-directional) image provides an all-encompassing spherical view of a scene. Recently, there has been an increasing interest in synthesising 360-degree images from…

cs.CV2023

Terrain Diffusion Network: Climatic-Aware Terrain Generation with Geological Sketch Guidance

Zexin Hu, Kun Hu, Clinton Mo +2

Sketch-based terrain generation seeks to create realistic landscapes for virtual environments in various applications such as computer games, animation and virtual reality. Recentl…

cs.SD2023★ 11 cited

Robust Audio Anti-Spoofing with Fusion-Reconstruction Learning on Multi-Order Spectrograms

Penghui Wen, Kun Hu, Wenxi Yue +3

Robust audio anti-spoofing has been increasingly challenging due to the recent advancements on deepfake techniques. While spectrograms have demonstrated their capability for anti-s…

cs.CV2023★ 4 cited

SurgicalSAM: Efficient Class Promptable Surgical Instrument Segmentation

Wenxi Yue, Jing Zhang, Kun Hu +3

The Segment Anything Model (SAM) is a powerful foundation model that has revolutionised image segmentation. To apply SAM to surgical instrument segmentation, a common approach is t…

cs.CV2023★ 1 cited

Continuous Intermediate Token Learning with Implicit Motion Manifold for Keyframe Based Motion Interpolation

Clinton Ansun Mo, Kun Hu, Chengjiang Long +1

Deriving sophisticated 3D motions from sparse keyframes is a particularly challenging problem, due to continuity and exceptionally skeletal precision. The action features are often…

cs.CV2023

Multi-Scale Control Signal-Aware Transformer for Motion Synthesis without Phase

Lintao Wang, Kun Hu, Lei Bai +3

Synthesizing controllable motion for a character using deep learning has been a promising approach due to its potential to learn a compact model without laborious feature engineeri…

cs.CV2023★ 1 cited

Robust Knowledge Adaptation for Federated Unsupervised Person ReID

Jianfeng Weng, Kun Hu, Tingting Yao +2

Person Re-identification (ReID) has been extensively studied in recent years due to the increasing demand in public security. However, collecting and dealing with sensitive persona…