most citedCelebV-HQ: A Large-Scale Video Facial Attributes Dataset

9 citations · 30 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CL20231 cited

COBRA Frames: Contextual Reasoning about Effects and Harms of Offensive Statements

Xuhui Zhou, Hao Zhu, Akhila Yerukola +4

Warning: This paper contains content that may be offensive or upsetting. Understanding the harms and offensiveness of statements requires reasoning about the social and situational…

cs.CV20233 cited

High-Fidelity 3D Face Generation from Natural Language Descriptions

Menghua Wu, Hao Zhu, Linjia Huang +3

Synthesizing high-quality 3D face models from natural language descriptions is very valuable for many applications, including avatar creation, virtual reality, and telepresence. Ho…

cs.CV20235 cited

Transductive Few-shot Learning with Prototype-based Label Propagation by Iterative Graph Refinement

Hao Zhu, Piotr Koniusz

Few-shot learning (FSL) is popular due to its ability to adapt to novel classes. Compared with inductive few-shot learning, transductive models typically perform better as they lev…

cs.CV2023

NeAI: A Pre-convoluted Representation for Plug-and-Play Neural Ambient Illumination

Yiyu Zhuang, Qi Zhang, Xuan Wang +5

Recent advances in implicit neural representation have demonstrated the ability to recover detailed geometry and material from multi-view images. However, the use of simplified lig…

cs.CV20234 cited

From Saliency to DINO: Saliency-guided Vision Transformer for Few-shot Keypoint Detection

Changsheng Lu, Hao Zhu, Piotr Koniusz

Unlike current deep keypoint detectors that are trained to recognize limited number of body parts, few-shot keypoint detection (FSKD) attempts to localize any keypoints, including…

cs.CV20233 cited

Disorder-invariant Implicit Neural Representation

Hao Zhu, Shaowen Xie, Zhen Liu +6

Implicit neural representation (INR) characterizes the attributes of a signal as a function of corresponding coordinates which emerges as a sharp weapon for solving inverse problem…