1 citations · 1 across the 6 of their papers we have counts for
3 papers · 1 filter
Hear, Localize, and Reason: Spatially Aware Scene Understanding for Audio-Visual LLMs
Kim Sung-Bin, Lee Jung-Mok, Jinwoo Jung +4
Audio-visual large language models (AV-LLMs) have made strong progress in multimodal understanding, yet most treat audio as monaural semantic content, limiting their ability to rea…
FloorSAV: Elucidating Spatial Audio-Visual Context with 2D Floormap for AV-LLMs
Kyeong-Rae Kim, Sungnyun Kim, Tae-Hyun Oh
While 3D spatial reasoning in dynamic egocentric environments is crucial for embodied intelligence, audio-visual large language models (AV-LLMs) lack explicit mechanisms to process…
SVHalluc: Benchmarking Speech-Vision Hallucination in Audio-Visual Large Language Models
Chenshuang Zhang, Kyeong Seon Kim, Chengxin Liu +1
Despite the success of audio-visual large-language models (LLMs), they can produce plausible but ungrounded outputs, termed hallucination. Existing benchmarks focus on environmenta…