arXiv:2606.01600v2 Announce Type: replace-cross
Abstract: Video world models are increasingly used in robotic manipulation, yet existing benchmarks mostly evaluate them under valid, feasible, and saf...
By Huiqiong Li, Jiayu Wang, Zhiting Mei, Anirudha Majumdar, Jingjing Chen, Bin Zhu
arXiv:2606.06037v3 Announce Type: replace-cross
Abstract: Large audio language models (LALMs) are increasingly deployed in real-world applications, yet their safety alignment is still primarily evalu...
By Virginia Ceccatelli, Yejin Jeon, David Ifeoluwa Adelani
arXiv:2608.28674v1 Announce Type: new
Abstract: Multi-exposure is an efficient way to capture real-world high-dynamic-range (HDR) scenes. However, HDR imaging suffers from severe ghosting artifacts i...
By Qian Tao, Wei Wang, Chaobing Zheng, Zhengguo Li
arXiv:2608.28681v1 Announce Type: new
Abstract: Probability calibration aligns model confidence with predictive accuracy, enabling clinicians to identify unreliable segmentation regions. This alignme...
By Jiaheng Dai, Weidong Guo, Qingbiao Li, Jie Xu, Yi Guo, Yuanyuan Wang, Zeju Li
arXiv:2608.28762v1 Announce Type: new
Abstract: Recent advances in visual question answering (VQA) and multimodal large language models (MLLMs) have enabled natural-language reasoning over traffic sc...
By Shaozu Ding, Linan Song, Dajiang Suo
arXiv:2608.28891v1 Announce Type: new
Abstract: Pixel-level cross-view geo-registration aims to align a query image (e.g., drone) to a geo-referenced satellite map so that every query pixel can be ma...
By Qingyang Liu, David G Shatwell, Parth Parag Kulkarni, Mubarak Shah
arXiv:2608.29153v1 Announce Type: new
Abstract: Automated radiological report generation can alleviate clinical workloads and eliminate observer variability. However, standard free-text generation mo...
By Ayush Gupta, Vinkle Srivastav, Prateek Upadhya, Amit Gupta, Krithika Rangarajan, Nicolas Padoy
arXiv:2608.29211v1 Announce Type: new
Abstract: Ground image localization with respect to satellite imagery is a key enabler for metrically-accurate, geo-localized 3D scene reconstruction from uncons...
By Angel Daruna, Ben Southall, Niluthpol Chowdhury Mithun, Kshitij Minhas, Nicholas Meegan, Qiao Wang, Bogdan Matei, Supun Samarasekera, Rakesh Kumar
arXiv:2608.29467v1 Announce Type: new
Abstract: Zero-shot anomaly detection (ZSAD) has gained significant attention for its practical value in industrial inspection. Recently, CLIP-based approaches h...
By Sisi Zhu, Changwei Yu, Renshuai Tao, Zhenliang Ni
arXiv:2608.29980v1 Announce Type: new
Abstract: Unsupervised action segmentation is a challenging task. It involves finding action categories and boundaries in videos without labels. Existing Optimal...
By Linxiang Peng, Xinyao Qin, Jinhan Li, Di Yang, Jiangtao Wang
arXiv:2608.30003v1 Announce Type: new
Abstract: Prototypical part-based models provide explainable predictions by comparing input regions to learned prototypes. However, current approaches are burden...
By Il\'an Carretero, Gustavo Jes\'us Angulo, Roc\'io del Amor, Valery Naranjo
arXiv:2608.30194v1 Announce Type: new
Abstract: Diffusion models have recently advanced text-to-video (T2V) generation, yet they still struggle with fine-grained compositional alignment, such as attr...
By Yujiang Pu, Yu Kong
arXiv:2608.30450v1 Announce Type: new
Abstract: Video virtual try-on aims to transfer a target garment onto a moving person across video frames. Current methods rely on human parsing masks or pose ke...
By Shengyao Chen, Xianbing Sun, Liqing Zhang, Jianfu Zhang
arXiv:2608.30451v1 Announce Type: new
Abstract: Image-based 3D visual grounding is critical for embodied agents, yet existing benchmarks suffer from loose text-observation alignment and neglect tempo...
By Yi Zhang, Yi Wang, Yueting Wu, Kaiyue Yang, Yuejiao Su, Lap-Pui Chau
arXiv:2608.30617v1 Announce Type: new
Abstract: Reconstructing editable Computer-Aided Design (CAD) models from images is essential for downstream modification, manufacturing, and design reuse. Howev...
By Yihe Sun, Ziyu Lu, Kaihua Tang, Xian-Sheng Hua
arXiv:2608.30656v1 Announce Type: new
Abstract: Proactive tamper localization embeds an imperceptible signal into an image prior to distribution, enabling pixel-level manipulation detection. Existing...
By Suhyeon Ha, Woo Jae Kim, Joonsung Jeon, Sooel Son, Sung-eui Yoon
arXiv:2608.30688v1 Announce Type: new
Abstract: While face recognition systems are widely deployed, ensuring their demographic reliability and robustness under uncontrolled visual conditions remains...
By Alexandre Diano, Bernardo Biesseck, Gabriel Polo, Vinicius Gregorio, Laura Lopes, Diego Addan, David Menotti
arXiv:2608.30839v1 Announce Type: new
Abstract: Thermal Infrared detection is widely used in autonomous driving, medical AI, etc., but its security has only attracted attention recently. We propose i...
By Xiaopei Zhu, Siyuan Huang, Zhanhao Hu, Jianmin Li, Jun Zhu, Xiaolin Hu
arXiv:2608.31065v1 Announce Type: new
Abstract: Surgical phase recognition is key to context-aware computer-assisted feedback in vitreoretinal procedures, yet the scarcity of synchronized multimodal...
By Onur Izmitlioglu, Shervin Dehghani, Tarek Ghannoum, Benedikt Schworm, Nassir Navab
arXiv:2608.28794v1 Announce Type: cross
Abstract: Our work evaluates the effectiveness of automated methods for solving CAPTCHA challenges commonly encountered in darknet environments. These CAPTCHAs...
By Benjamin Fehrensen, Jens Hubler