Publications (46)
DSRGAN: Explicitly Learning Disentangled Representation of Underlying Structure and Rendering for Image Generation without Tuple Supervision
Guang-Yuan Hao, Hong-Xing Yu, Wei-Shi Zheng
We focus on explicitly learning disentangled representation for natural image generation, where the underlying spatial structure and the rendering on the structure can be independe…
Are These the Same Apple? Comparing Images Based on Object Intrinsics
Klemen Kotar, Stephen Tian, Hong-Xing Yu +2
The human visual system can effortlessly recognize an object under different extrinsic factors such as lighting, object poses, and background, yet current computer vision systems o…
Letter-level Online Writer Identification
Zelin Chen, Hong-Xing Yu, Ancong Wu +1
Writer identification (writer-id), an important field in biometrics, aims to identify a writer by their handwriting. Identification in existing writer-id studies requires a complet…
ZeroHSI: Zero-Shot 4D Human-Scene Interaction by Video Generation
Hongjie Li, Hong-Xing Yu, Jiaman Li +1
Human-scene interaction (HSI) generation is crucial for applications in embodied AI, virtual reality, and robotics. Yet, existing methods cannot synthesize interactions in unseen e…
Stanford-ORB: A Real-World 3D Object Inverse Rendering Benchmark
Zhengfei Kuang, Yunzhi Zhang, Hong-Xing Yu +3
We introduce Stanford-ORB, a new real-world 3D Object inverse Rendering Benchmark. Recent advances in inverse rendering have enabled a wide range of real-world applications in 3D c…
Adversarial Attribute-Image Person Re-identification
Zhou Yin, Wei-Shi Zheng, Ancong Wu +5
While attributes have been widely used for person re-identification (Re-ID) which aims at matching the same person images across disjoint camera views, they are used either as extr…