activity
20152026
most citedDeep Multimodal Speaker Naming

38 citations · 44 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

VideoVIBE: A Video-Grounded Diagnostic Benchmark for One-Shot Interactive Website Generation

Jiajun Xu, Yanghao Zhou, Jingyun Liao +6

Natural-language-driven "vibe coding" enables the one-shot generation of visually rich and interactive web applications, yet reliable assessment of their quality has not kept pace.…

cs.AI2026

MTAVG-Bench 2.0: Diagnosing Failure Modes of Cinematic Expressiveness in Multi-Talker Audio-Video Generation

Haitian Li, Yanghao Zhou, Heyan Huang +15

In recent years, Multi-Talker Audio-Video Generation (MTAVG) models have shown promising performance on fundamental metrics such as lip-sync and audio-visual alignment. However, th…

cs.MM2026

MTAVG-Bench: A Diagnostic Benchmark for Multi-Talker Dialogue-Centric Audio-Video Generation

Yang-Hao Zhou, Haitian Li, Rexar Lin +12

Recent advances in text-to-audio-video (T2AV) generation have enabled models to synthesize audio-visual videos with multi-participant dialogues. However, existing evaluation benchm…

cs.CL2018★ 6 cited

Distant Supervision for Relation Extraction with Linear Attenuation Simulation and Non-IID Relevance Embedding

Changsen Yuan, Heyan Huang, Chong Feng +2

Distant supervision for relation extraction is an efficient method to reduce labor costs and has been widely used to seek novel relational facts in large corpora, which can be iden…

cs.CV2015★ 38 cited

Deep Multimodal Speaker Naming

Yongtao Hu, Jimmy Ren, Jingwen Dai +3

Automatic speaker naming is the problem of localizing as well as identifying each speaking character in a TV/movie/live show video. This is a challenging problem mainly attributes…