activity
20092026
most citedDeep Learning for Anomaly Detection: A Review

2.7k citations · 7.3k across the 172 of their papers we have counts for

collaborators

184 papers

cs.RO2026

NavHarness: Towards Lifelong Embodied Navigation

Xunyi Zhao, Jian Zhou, Sihao Lin +6

Frontier models can now perform well on individual embodied navigation tasks through multi-round multimodal reasoning with simple tools. Across successive tasks, however, an agent…

cs.CV2026

GKDT: General Keypoint Detection Transformer

Changsheng Lu, Yuxin Chen, Haokun Gui +5

With the emergence of various pre-trained vision and language models, computer vision is shifting from narrow-domain to open-domain recognition. The construction of a more powerful…

physics.optics2026

Enhancing Speckle Metrology with Diffusion Denoising in Photon-Starved Regimes

Admir Bajraktarevic, Alexander C. Trowbridge, Saba N. Khan +3

Laser speckle is a powerful tool for precision metrology that enables highly sensitive measurements of light sources and subtle environmental perturbations. Many applications requi…

cs.CV2026

LangMap: A Human-Verified Benchmark for Hierarchical Open-Vocabulary Goal Navigation

Bo Miao, Weijia Liu, Jun Luo +8

Language-conditioned goal navigation (LGN) requires embodied agents to locate user-specified targets without step-by-step guidance. However, existing benchmarks largely focus on ca…

cs.LG2026

Concept Component Analysis: A Principled Approach for Concept Extraction in LLMs

Yuhang Liu, Erdun Gao, Dong Gong +2

Developing human understandable interpretation of large language models (LLMs) becomes increasingly critical for their deployment in essential domains. Mechanistic interpretability…

cs.CL2026

Procedural Pretraining: Warming Up Language Models with Abstract Data

Liangze Jiang, Zachary Shinnick, Anton van den Hengel +2

Pretraining language models directly on web-scale corpora is the de facto paradigm. We study an alternative where the model is initially exposed to abstract structured data to ease…