multimodal interaction

DaTaobao Tech

May 16, 2025 · Artificial Intelligence

JianYi: AI‑Powered Image Segmentation and Matting System for Taobao Home‑Decoration

The article introduces JianYi, a self‑developed image segmentation and matting system for Taobao's home‑decoration business that supports product, human, and panoramic segmentation with multi‑modal interaction, achieving high‑precision real‑time performance and powering AI tools such as "Jiazuo" and "Fang Wo Jia".

Artificial IntelligenceComputer Visiondeep learning

0 likes · 11 min read

JianYi: AI‑Powered Image Segmentation and Matting System for Taobao Home‑Decoration

Kuaishou Tech

Jul 1, 2024 · Artificial Intelligence

Kuaishou Showcases AI Innovations at CVPR 2024: Competitions, Large‑Model Demonstrations, and Research Highlights

At CVPR 2024 in Seattle, Kuaishou presented its latest AI research and applications, including a star‑studded gala, a short‑video quality competition, large‑model video generation demos, a multi‑dimensional text‑to‑image evaluation paper, and advanced video processing technologies, underscoring its strong ties with the academic community.

AICVPR 2024Computer Vision

0 likes · 9 min read

Kuaishou Showcases AI Innovations at CVPR 2024: Competitions, Large‑Model Demonstrations, and Research Highlights

DataFunSummit

May 24, 2023 · Artificial Intelligence

Digital Humans and XR Interaction Forum at DataFunCon2023

The DataFunCon2023 Digital Humans and XR Interaction Forum showcases the latest advances in digital human technology, multimodal interaction, emotion computing, and LLM‑enhanced AI beings through expert talks, detailed outlines, and audience benefits, highlighting both research progress and practical applications.

AIConferenceLLM

0 likes · 8 min read

Digital Humans and XR Interaction Forum at DataFunCon2023

DataFunTalk

Oct 21, 2019 · Artificial Intelligence

Challenges and Future Directions of Chatbots: From Virtual Life to Multimodal Interaction

This talk analyzes the technical and practical challenges of current chatbots, introduces the next‑generation paradigm of virtual life, and details how AI technologies such as speech, vision, NLP, and knowledge graphs can be combined with multimodal interaction to create more intelligent and engaging conversational agents.

AIChatbotNLP

0 likes · 25 min read

Challenges and Future Directions of Chatbots: From Virtual Life to Multimodal Interaction