activity
20232026
most citedTowards End-to-End Embodied Decision Making via Multi-modal Large Language Model: Explorations with GPT4-Vision and Beyond

4 citations · 8 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CV2026

MMEmb-R1: Reasoning-Enhanced Multimodal Embedding with Pair-Aware Selection and Adaptive Control

Yuchi Wang, Dingkang Yang, Haiyang Yu +5

MLLMs have been successfully applied to multimodal embedding tasks, yet their generative reasoning capabilities remain underutilized. Directly incorporating chain-of-thought reason…

cs.IR2025

SAIL-Embedding Technical Report: Omni-modal Embedding Foundation Model

Lin Lin, Jiefeng Long, Zhihe Wan +15

Multimodal embedding models aim to yield informative unified representations that empower diverse cross-modal tasks. Despite promising developments in the evolution from CLIP-based…

cs.CV2024

VidTwin: Video VAE with Decoupled Structure and Dynamics

Yuchi Wang, Junliang Guo, Xinyi Xie +3

Recent advancements in video autoencoders (Video AEs) have significantly improved the quality and efficiency of video generation. In this paper, we propose a novel and compact vide…

cs.CL2024

Rethinking Semantic Parsing for Large Language Models: Enhancing LLM Performance with Semantic Hints

Kaikai An, Shuzheng Si, Helan Hu +4

Semantic Parsing aims to capture the meaning of a sentence and convert it into a logical, structured form. Previous studies show that semantic parsing enhances the performance of s…

cs.CV2024

Make Your Actor Talk: Generalizable and High-Fidelity Lip Sync with Motion and Appearance Disentanglement

Runyi Yu, Tianyu He, Ailing Zhang +6

We aim to edit the lip movements in talking video according to the given speech while preserving the personal identity and visual details. The task can be decomposed into two sub-p…

cs.CV2024

InstructAvatar: Text-Guided Emotion and Motion Control for Avatar Generation

Yuchi Wang, Junliang Guo, Jianhong Bai +5

Recent talking avatar generation models have made strides in achieving realistic and accurate lip synchronization with the audio, but often fall short in controlling and conveying…

cs.AI2024

LaDiC: Are Diffusion Models Really Inferior to Autoregressive Counterparts for Image-to-Text Generation?

Yuchi Wang, Shuhuai Ren, Rundong Gao +5

Diffusion models have exhibited remarkable capabilities in text-to-image generation. However, their performance in image-to-text generation, specifically image captioning, has lagg…

cs.CL2024

PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain

Liang Chen, Yichi Zhang, Shuhuai Ren +7

We present PCA-Bench, a multimodal decision-making benchmark for evaluating the integrated capabilities of Multimodal Large Language Models (MLLMs). Departing from previous benchma…

cs.CV2024★ 2 cited

UniEdit: A Unified Tuning-Free Framework for Video Motion and Appearance Editing

Jianhong Bai, Tianyu He, Yuchi Wang +4

Recent advances in text-guided video editing have showcased promising results in appearance editing (e.g., stylization). However, video motion editing in the temporal dimension (e.…

cs.AI2023★ 4 cited

Towards End-to-End Embodied Decision Making via Multi-modal Large Language Model: Explorations with GPT4-Vision and Beyond

Liang Chen, Yichi Zhang, Shuhuai Ren +6

In this study, we explore the potential of Multimodal Large Language Models (MLLMs) in improving embodied decision-making processes for agents. While Large Language Models (LLMs) h…

cs.CV2023★ 2 cited

GAIA: Zero-shot Talking Avatar Generation

Tianyu He, Junliang Guo, Runyi Yu +10

Zero-shot talking avatar generation aims at synthesizing natural talking videos from speech and a single portrait image. Previous methods have relied on domain-specific heuristics…