arXiv:2609.31285v1 Announce Type: new
Abstract: Facial micro-expressions are spontaneous, brief, and subtle facial movements that reveal suppressed emotions in high-stakes environments. In contrast t...
By Huai-Qian Khor, Mengting Wei, Yante Li, Chu Kiong Loo, Guoying Zhao
arXiv:2609.31314v1 Announce Type: new
Abstract: Cytopathology detection requires open-vocabulary recognition because cellular categories are fine-grained, long-tailed, and continuously evolving acros...
By Wenjie Li, Zishan Xu, Jinyang Huang, Zhengxin Nie, Shichao Kan, Yixiong Liang
arXiv:2609.31378v1 Announce Type: new
Abstract: In recent years, diffusion models and GAN-based models have become the mainstream approaches for SAR-to-optical image translation, owing to their advan...
By Mingqian Yu, Wei-kuan Chiang, Qiurui Wang, Peilin Zhao
arXiv:2609.31456v1 Announce Type: new
Abstract: Vision-language models (VLMs) often struggle with compositional reasoning tasks, but the reasons for this underperformance remain unclear. A common hyp...
By Mona Gandhi, Cenk Merih Olcay, Kuan-Chieh Lo, Santiago Castro, Christopher W. Myers, Srinivasan Parthasarathy
arXiv:2609.31595v1 Announce Type: new
Abstract: 3D scene graphs provide a structured representation of complex environments by encoding objects, their semantic attributes, and the spatial and functio...
By Luka Milivojevic, Nikola Popovic, Sayan Deb Sarkar, Sebastian Koch, Iro Armeni, Luc Van Gool, Danda Pani Paudel
arXiv:2609.30988v1 Announce Type: new
Abstract: Real-world image super-resolution (SR) requires recovering perceptually realistic high-resolution images from complex low-resolution observations while...
By Xin Di, Mingyu Shi, Yuanfei Bao, Long Peng, Yue Zhao, Jiaming Guo, Renjing Pei, Xueyang Fu, Yang Cao, Zheng-Jun Zha
arXiv:2609.30631v1 Announce Type: cross
Abstract: Online audio-visual target-speaker extraction aims to remove competing voices while preserving speech quality and bounding lookahead. Existing extrac...
By Rayhan Rashed, Senja Filipi, Ross Cutler
arXiv:2609.31204v1 Announce Type: cross
Abstract: Recent fMRI foundation models differ substantially in the spatial scale at which they represent brain activity. ROI- and connectivity-based models ar...
By Mo Wang, Wenhao Ye, Zihan Ning, Jiayu Zuo, Junfeng Xia, Hongkai Wen, Quanying Liu
arXiv:2609.31452v1 Announce Type: cross
Abstract: Cloth manipulation is a challenging task due to the deformable and high-dimensional nature of cloth, which leads to complex interaction dynamics and...
By Domen Tabernik, Peter Nimac, Jan Jeri\'cevi\'c, Danijel Sko\v{c}aj, Andrej Gams
arXiv:2502.02707v5 Announce Type: replace
Abstract: Multiple Instance Learning (MIL) for whole slide image (WSI) analysis in computational pathology often neglects instance-level learning as supervis...
By Shuyang Wu, Yifu Qiu, Ines P. Nearchou, Sandrine Prost, Jonathan A. Fallowfield, Hideki Ueno, Hitoshi Tsuda, David J. Harrison, Hakan Bilen, Timothy J. Kendall
arXiv:2503.10685v3 Announce Type: replace
Abstract: Unsupervised Domain Adaptation (UDA) enables strong generalization from a labeled source domain to an unlabeled target domain, often with limited d...
By Brun\'o B. Englert, Gijs Dubbelman
arXiv:2504.18190v2 Announce Type: replace
Abstract: Unsupervised Domain Adaptation (UDA) can improve a perception model's generalization to an unlabeled target domain starting from a labeled source d...
By Brun\'o B. Englert, Tommie Kerssies, Gijs Dubbelman
arXiv:2505.05848v3 Announce Type: replace
Abstract: Modern 3D reconstruction and novel view synthesis approaches have demonstrated strong performance on scenes with opaque, non-refractive objects. Ho...
By Yue Yin, Enze Tao, Weijian Deng, Dylan Campbell
arXiv:2506.02015v4 Announce Type: replace
Abstract: Recent advances in Multimodal Large Language Models (MLLMs) have enabled unified multimodal understanding and generation. However, they still strug...
By Yoonjin Oh, Yongjin Kim, Hyomin Kim, Donghwan Chi, Sungwoong Kim
arXiv:2511.09239v2 Announce Type: replace
Abstract: Deep neural networks typically learn spatially entangled representations that conflate discriminative foreground features with spurious background...
By Kaixiang Shu
arXiv:2511.22245v2 Announce Type: replace
Abstract: Personalizing text-to-image diffusion models extends pretrained models to represent novel user-specific concepts from only a few reference images....
By Seoyun Yang, Gihoon Kim, Taesup Kim
arXiv:2609.30459v1 Announce Type: cross
Abstract: Perception in robotics and XR fundamentally relies on good state estimation. Visual-inertial odometry (VIO) and Simultaneous Localization and Mapping...
By Ole Hoffmann, Mateo de Mayo, Daniel Cremers
arXiv:2604.10766v5 Announce Type: replace
Abstract: Open-set 3D macromolecule detection in cryogenic electron tomography eliminates the need for target-specific model retraining. However, strict VRAM...
By Ming-Yang Ho, Alberto Bartesaghi
arXiv:2609.06436v2 Announce Type: replace
Abstract: High-resolution 3D asset generation is vital in various 3D applications. Existing state-of-the-art diffusion-based models remain constrained by fix...
By Yuxin Liu, Minshan Xie, Jiawen Liang, Runsong Zhu, Chi-Wing Fu, Tien-Tsin Wong
arXiv:2607.20561v2 Announce Type: replace-cross
Abstract: LoRA merging methods increasingly operate on the low-rank structure of task updates, yet how the common subspace is estimated and how coeffic...
By Keumseo Ryum, Joonhyuk Kang