Tagged articles

Video Anomaly Detection

5 articles · Page 1 of 1

Network Intelligence Research Center (NIRC)

Jun 22, 2026 · Artificial Intelligence

Highlights from CVPR 2026: Four NIRC Papers on Video Anomaly Detection and Hand Modeling

The author recounts attending CVPR 2026 in Denver, summarizing four NIRC papers—Fine‑VAD, Alert‑CLIP, Clay‑to‑Stone, and a temporal‑content co‑aware diffusion model—while also describing the opening ceremony, poster sessions, workshops, networking with researchers, and memorable moments exploring the city.

CVPR 2026Computer VisionHand Modeling

0 likes · 8 min read

Highlights from CVPR 2026: Four NIRC Papers on Video Anomaly Detection and Hand Modeling

Network Intelligence Research Center (NIRC)

Jan 11, 2026 · Artificial Intelligence

Insights from NeurIPS 2025: Modeling Distributions and Venturing Beyond Them

The report summarizes NeurIPS 2025 in San Diego, highlighting four NIRC papers on noise‑robust 3D human pose estimation, LVLM video‑anomaly understanding, and hand‑object reconstruction, and discusses broader industry trends such as feed‑forward generation and large‑scale pre‑training showcased by leading AI companies.

3D human pose estimationAI researchLVLM

0 likes · 5 min read

Insights from NeurIPS 2025: Modeling Distributions and Venturing Beyond Them

Network Intelligence Research Center (NIRC)

Oct 23, 2023 · Artificial Intelligence

How Multiple‑Instance Learning Boosts Context Understanding in Video Anomaly Detection

The article reviews the CVPR 2021 MIST framework, explaining how a multiple‑instance pseudo‑label generator and a self‑guided attention encoder work together with sparse continuous sampling to improve context awareness and detection accuracy in weakly‑supervised video anomaly detection.

Attention EncoderComputer VisionMultiple Instance Learning

0 likes · 9 min read

How Multiple‑Instance Learning Boosts Context Understanding in Video Anomaly Detection

Alibaba Cloud Developer

Aug 24, 2018 · Artificial Intelligence

AI Secrets Behind City Brain: Video Anomaly Detection, Person Re‑ID & Image Generation

This article introduces the concept of a city brain powered by internet data, then showcases three ACM MM 2017 papers—spatio‑temporal auto‑encoders for video anomaly detection, deep siamese networks for person re‑identification, and stylized adversarial auto‑encoders for image generation—offering free access to the mini‑e‑book.

Video Anomaly Detectioncity brainimage generation

0 likes · 5 min read

AI Secrets Behind City Brain: Video Anomaly Detection, Person Re‑ID & Image Generation

Alibaba Cloud Developer

Oct 31, 2017 · Artificial Intelligence

How Alibaba’s ‘City Brain’ Powered Cutting‑Edge AI Research at ACM MM 2017

Three Alibaba iDST papers on the AI‑driven City Brain were selected for ACM Multimedia 2017, showcasing novel video anomaly detection, deep siamese re‑identification, and stylized image generation methods that improve urban traffic management and demonstrate the broader potential of Alibaba’s ET Brain platform.

Video Anomaly Detectionmultimedia

0 likes · 8 min read

How Alibaba’s ‘City Brain’ Powered Cutting‑Edge AI Research at ACM MM 2017