activity
20172022
most citedContrastive Learning for Image Captioning

92 citations · 250 across the 24 of their papers we have counts for

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22 papers · 1 filter

cs.CV20221 cited

Rethinking Trajectory Prediction via "Team Game"

Zikai Wei, Xinge Zhu, Bo Dai +1

To accurately predict trajectories in multi-agent settings, e.g. team games, it is important to effectively model the interactions among agents. Whereas a number of methods have be…

cs.CV20221 cited

Temporal and Contextual Transformer for Multi-Camera Editing of TV Shows

Anyi Rao, Xuekun Jiang, Sichen Wang +7

The ability to choose an appropriate camera view among multiple cameras plays a vital role in TV shows delivery. But it is hard to figure out the statistical pattern and apply inte…

cs.CV202237 cited

Accelerating Diffusion Models via Early Stop of the Diffusion Process

Zhaoyang Lyu, Xudong XU, Ceyuan Yang +2

Denoising Diffusion Probabilistic Models (DDPMs) have achieved impressive performance on various generation tasks. By modeling the reverse process of gradually diffusing the data d…

cs.CV20222 cited

Towards Diverse and Natural Scene-aware 3D Human Motion Synthesis

Jingbo Wang, Yu Rong, Jingyuan Liu +3

The ability to synthesize long-term human motion sequences in real-world scenes can facilitate numerous applications. Previous approaches for scene-aware motion synthesis are const…

cs.CV20223 cited

TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing

Yanbo Xu, Yueqin Yin, Liming Jiang +5

Recent advances like StyleGAN have promoted the growth of controllable facial editing. To address its core challenge of attribute decoupling in a single latent space, attempts have…

cs.CV20214 cited

Generative Occupancy Fields for 3D Surface-Aware Image Synthesis

Xudong Xu, Xingang Pan, Dahua Lin +1

The advent of generative radiance fields has significantly promoted the development of 3D-aware image synthesis. The cumulative rendering process in radiance fields makes training…