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20172023
most citedCode Llama: Open Foundation Models for Code

425 citations · 757 across the 37 of their papers we have counts for

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5 papers · 1 filter

cs.CV2023★ 2 cited

VideoOFA: Two-Stage Pre-Training for Video-to-Text Generation

Xilun Chen, Lili Yu, Wenhan Xiong +3

We propose a new two-stage pre-training framework for video-to-text generation tasks such as video captioning and video question answering: A generative encoder-decoder model is fi…

cs.CV2023

Text-guided 3D Human Generation from 2D Collections

Tsu-Jui Fu, Wenhan Xiong, Yixin Nie +3

3D human modeling has been widely used for engaging interaction in gaming, film, and animation. The customization of these characters is crucial for creativity and scalability, whi…

cs.CV2023★ 3 cited

CLIP-Layout: Style-Consistent Indoor Scene Synthesis with Semantic Furniture Embedding

Jingyu Liu, Wenhan Xiong, Ian Jones +3

Indoor scene synthesis involves automatically picking and placing furniture appropriately on a floor plan, so that the scene looks realistic and is functionally plausible. Such sce…

cs.CV2021★ 8 cited

Unified Multimodal Pre-training and Prompt-based Tuning for Vision-Language Understanding and Generation

Tianyi Liu, Zuxuan Wu, Wenhan Xiong +2

Most existing vision-language pre-training methods focus on understanding tasks and use BERT-like objectives (masked language modeling and image-text matching) during pretraining.…

cs.CV2018★ 22 cited

Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation

Xin Wang, Wenhan Xiong, Hongmin Wang +1

Existing research studies on vision and language grounding for robot navigation focus on improving model-free deep reinforcement learning (DRL) models in synthetic environments. Ho…