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20222024
most citedFast Model Debias with Machine Unlearning

6 citations · 18 across the 15 of their papers we have counts for

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7 papers · 1 filter

cs.CV2024

PX2Tooth: Reconstructing the 3D Point Cloud Teeth from a Single Panoramic X-ray

Wen Ma, Huikai Wu, Zikai Xiao +3

Reconstructing the 3D anatomical structures of the oral cavity, which originally reside in the cone-beam CT (CBCT), from a single 2D Panoramic X-ray(PX) remains a critical yet chal…

cs.CV2024

FAIntbench: A Holistic and Precise Benchmark for Bias Evaluation in Text-to-Image Models

Hanjun Luo, Ziye Deng, Ruizhe Chen +1

The rapid development and reduced barriers to entry for Text-to-Image (T2I) models have raised concerns about the biases in their outputs, but existing research lacks a holistic de…

cs.CV2024★ 2 cited

MedThink: Explaining Medical Visual Question Answering via Multimodal Decision-Making Rationale

Xiaotang Gai, Chenyi Zhou, Jiaxiang Liu +3

Medical Visual Question Answering (MedVQA), which offers language responses to image-based medical inquiries, represents a challenging task and significant advancement in healthcar…

cs.CV2023

TSegFormer: 3D Tooth Segmentation in Intraoral Scans with Geometry Guided Transformer

Huimin Xiong, Kunle Li, Kaiyuan Tan +6

Optical Intraoral Scanners (IOS) are widely used in digital dentistry to provide detailed 3D information of dental crowns and the gingiva. Accurate 3D tooth segmentation in IOSs is…

cs.CV2023

Robustness-Guided Image Synthesis for Data-Free Quantization

Jianhong Bai, Yuchen Yang, Huanpeng Chu +7

Quantization has emerged as a promising direction for model compression. Recently, data-free quantization has been widely studied as a promising method to avoid privacy concerns, w…

cs.CV2023★ 2 cited

Towards Distribution-Agnostic Generalized Category Discovery

Jianhong Bai, Zuozhu Liu, Hualiang Wang +7

Data imbalance and open-ended distribution are two intrinsic characteristics of the real visual world. Though encouraging progress has been made in tackling each challenge separate…

cs.CV2022★ 1 cited

TFormer: 3D Tooth Segmentation in Mesh Scans with Geometry Guided Transformer

Huimin Xiong, Kunle Li, Kaiyuan Tan +4

Optical Intra-oral Scanners (IOS) are widely used in digital dentistry, providing 3-Dimensional (3D) and high-resolution geometrical information of dental crowns and the gingiva. A…