7 citations · 9 across the 7 of their papers we have counts for
9 papers
Multi-Scale Spatio-Temporal Graph Convolutional Network for Facial Expression Spotting
Yicheng Deng, Hideaki Hayashi, Hajime Nagahara
Facial expression spotting is a significant but challenging task in facial expression analysis. The accuracy of expression spotting is affected not only by irrelevant facial moveme…
Instruct Me More! Random Prompting for Visual In-Context Learning
Jiahao Zhang, Bowen Wang, Liangzhi Li +2
Large-scale models trained on extensive datasets, have emerged as the preferred approach due to their high generalizability across various tasks. In-context learning (ICL), a popul…
Inverse Rendering of Translucent Objects using Physical and Neural Renderers
Chenhao Li, Trung Thanh Ngo, Hajime Nagahara
In this work, we propose an inverse rendering model that estimates 3D shape, spatially-varying reflectance, homogeneous subsurface scattering parameters, and an environment illumin…
Learning Bottleneck Concepts in Image Classification
Bowen Wang, Liangzhi Li, Yuta Nakashima +1
Interpreting and explaining the behavior of deep neural networks is critical for many tasks. Explainable AI provides a way to address this challenge, mostly by providing per-pixel…
Human-Imperceptible Identification with Learnable Lensless Imaging
Thuong Nguyen Canh, Trung Thanh Ngo, Hajime Nagahara
Lensless imaging protects visual privacy by capturing heavily blurred images that are imperceptible for humans to recognize the subject but contain enough information for machines…
Inference Time Evidences of Adversarial Attacks for Forensic on Transformers
Hugo Lemarchant, Liangzi Li, Yiming Qian +2
Vision Transformers (ViTs) are becoming a very popular paradigm for vision tasks as they achieve state-of-the-art performance on image classification. However, although early works…