45 citations · 78 across the 11 of their papers we have counts for
5 papers · 1 filter
Pisces: An Auto-regressive Foundation Model for Image Understanding and Generation
Zhiyang Xu, Jiuhai Chen, Zhaojiang Lin +10
Recent advances in large language models (LLMs) have enabled multimodal foundation models to tackle both image understanding and generation within a unified framework. Despite thes…
SnapNTell: Enhancing Entity-Centric Visual Question Answering with Retrieval Augmented Multimodal LLM
Jielin Qiu, Andrea Madotto, Zhaojiang Lin +7
Vision-extended LLMs have made significant strides in Visual Question Answering (VQA). Despite these advancements, VLLMs still encounter substantial difficulties in handling querie…
IMU2CLIP: Multimodal Contrastive Learning for IMU Motion Sensors from Egocentric Videos and Text
Seungwhan Moon, Andrea Madotto, Zhaojiang Lin +4
We present IMU2CLIP, a novel pre-training approach to align Inertial Measurement Unit (IMU) motion sensor recordings with video and text, by projecting them into the joint represen…
Joint Audio-Text Model for Expressive Speech-Driven 3D Facial Animation
Yingruo Fan, Zhaojiang Lin, Jun Saito +2
Speech-driven 3D facial animation with accurate lip synchronization has been widely studied. However, synthesizing realistic motions for the entire face during speech has rarely be…
FaceFormer: Speech-Driven 3D Facial Animation with Transformers
Yingruo Fan, Zhaojiang Lin, Jun Saito +2
Speech-driven 3D facial animation is challenging due to the complex geometry of human faces and the limited availability of 3D audio-visual data. Prior works typically focus on lea…