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20152026
most citedDo Convolutional Neural Networks Learn Class Hierarchy?

211 citations · 279 across the 7 of their papers we have counts for

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11 papers · 1 filter

cs.CV2026

Photorealistic Novel View Synthesis of Human Faces using Next-Scale Transformers

Federico Stella, Fei Jiang, Zhongshi Jiang +4

Photorealistic novel view synthesis of people remains challenging at high spatial resolutions and across multiple target cameras, where preserving identity, fine appearance details…

cs.CV2026

Latent Dynamics for Full Body Avatar Animation

Shichong Peng, Chengxiang Yin, Fei Jiang +7

Pose-driven full-body avatars built on neural rendering produce high-quality novel views of a captured subject. Yet loose clothing and other dynamic elements deform in ways pose al…

cs.CV2024

GenCA: A Text-conditioned Generative Model for Realistic and Drivable Codec Avatars

Keqiang Sun, Amin Jourabloo, Riddhish Bhalodia +9

Photo-realistic and controllable 3D avatars are crucial for various applications such as virtual and mixed reality (VR/MR), telepresence, gaming, and film production. Traditional m…

cs.CV2020

Noise Modeling, Synthesis and Classification for Generic Object Anti-Spoofing

Joel Stehouwer, Amin Jourabloo, Yaojie Liu +1

Using printed photograph and replaying videos of biometric modalities, such as iris, fingerprint and face, are common attacks to fool the recognition systems for granting access as…

cs.CV2019★ 14 cited

Deep Tree Learning for Zero-shot Face Anti-Spoofing

Yaojie Liu, Joel Stehouwer, Amin Jourabloo +1

Face anti-spoofing is designed to keep face recognition systems from recognizing fake faces as the genuine users. While advanced face anti-spoofing methods are developed, new types…

cs.CV2018

Face De-Spoofing: Anti-Spoofing via Noise Modeling

Amin Jourabloo, Yaojie Liu, Xiaoming Liu

Many prior face anti-spoofing works develop discriminative models for recognizing the subtle differences between live and spoof faces. Those approaches often regard the image as an…