ABot-N1 employs a dual slow-fast architecture combining Chain-of-Thought reasoning with pixel anchors, enabling multi-task general visual navigation with high interpretability.

Ruiyan Gong, Yingnan Guo, Junjun Hu et al.

SigLIP-HD employs fine-to-coarse supervision to enhance visual perception at standard resolution, outperforming baseline models with no extra inference cost.

Lihe Yang, Zhen Zhao, Hengshuang Zhao

Proposes a dynamic inverse rendering framework combining object tracking and surface reconstruction, significantly improving material-light disentanglement.

Raza Yunus, Benjamin Ummenhofer, Jan Eric Lenssen et al.

OmniMapBench uses VDI to validate visual reasoning on maps; top LVLM achieves only 75.03% accuracy.

Yang Chen, Yunwen Li, Yufan Shen et al.

MOSAIC employs multi-objective MIP to automatically search heterogeneous Transformer architectures, combining linear, sparse, and low-rank mechanisms, boosting efficiency by over 2.5×.

Yuncheng Yang, Feiyang Ye, Shixian Luo et al.

MultiView-Bench evaluates VLM multi-view spatial reasoning; models struggle with 3D relations, improved by active viewpoint fusion (+12-20%).

Hantao Zhang, Jinru Sui, Ed Li et al.

Proposes S2AE with spatial and semantic regularization, improving cross-modal concept alignment by 6.06%.

Weiduo Liao, Yunqiao Yang, Ying Wei

WCog-VLA integrates semantic forecasting and generative modeling, achieving 92.9 PDMS on NAVSIM, enabling proactive autonomous driving.

Xuerun Yan, Zhexi Lian, Nuoheng Zhang et al.

Introduces Temporal Ratio (TR) to quantify and improve video action model generalization, boosting success rates from 71.7% to 83.3% in robotic tasks.

Utkarsh A. Mishra, Yongxin Chen, Danfei Xu et al.

DreamCharacter-1 enhances 3D character generation with geometry and texture post-training, surpassing existing methods.

Weizhe Liu, Yunjie Wu, Xiangqian Shu et al.

PUF framework improves relationship recall by 18.1% on 3DSSG while maintaining real-time performance.

Yi Yang, Myrna Castillo, Bodo Rosenhahn et al.

Self-supervised pretraining with Point-M2AE enhances cross-site and cross-scale robustness in point cloud leaf-wood segmentation, boosting IoU by ~10% and improving downstream volume estimation.

Heeju Mun, Tackang Yang, Yunsoo Nam et al.

MobileWan employs recursive distillation and structured pruning to deploy a 5B-parameter video diffusion model on mobile devices, enabling 5-second 480x832 videos at 16 FPS in 20 seconds.

Mohsen Ghafoorian, Denis Korzhenkov, Adil Karjauv et al.

Introduced LanEvil++ benchmark, evaluating lane perception robustness; models drop 5.27% accuracy under environmental illusions.

Tianyuan Zhang, Xianglong Liu, Aishan Liu et al.

Image2Sim uses neural simulation to build scalable, high-fidelity interactive environments for embodied navigation training.

Zihan Wang, Seungjun Lee, Yinghao Xu et al.

UNIVERSE employs a single mask-modulated Diffusion Transformer for joint video and trajectory prediction, achieving 4.3× inference speedup and state-of-the-art generalization.

Mengmeng Liu, Diankun Zhang, Jiuming Liu et al.

Proposes multi-scale convolution and capsule routing for video-text localization, achieving 42.9% [email protected] on ActivityNet.

Gengtian Shi, Jinze Yu, Chenhao Wu et al.

RADIANCE uses CLIP feedback for real-time adaptive denoising, boosting rare concept synthesis without retraining.

Zi-Xiang Ni, Bo-Lun Huang, Teng-Fang Hsiao et al.

HunyuanOCR-1.5 enhances OCR performance using DFlash acceleration and Agentic Data Flow, achieving 6.37x inference speedup.

Gengluo Li, Xingyu Wan, Shangpin Peng et al.

Unsupervised detection of underground tunnels using depth-restricted reconstruction scoring, achieving AUC of 0.994.

Muhammad Junaid, Shoab A. Khan, Nisar Ahmed