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20062024
most citedLearning from Synthetic Humans

978 citations · 7k across the 148 of their papers we have counts for

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20 papers · 1 filter

cs.CV2021

Masking Modalities for Cross-modal Video Retrieval

Valentin Gabeur, Arsha Nagrani, Chen Sun +2

Pre-training on large scale unlabelled datasets has shown impressive performance improvements in the fields of computer vision and natural language processing. Given the advent of…

cs.CV2021★ 8 cited

Differentiable Rendering with Perturbed Optimizers

Quentin Le Lidec, Ivan Laptev, Cordelia Schmid +1

Reasoning about 3D scenes from their 2D image projections is one of the core problems in computer vision. Solutions to this inverse and ill-posed problem typically involve a search…

cs.CV2021★ 21 cited

History Aware Multimodal Transformer for Vision-and-Language Navigation

Shizhe Chen, Pierre-Louis Guhur, Cordelia Schmid +1

Vision-and-language navigation (VLN) aims to build autonomous visual agents that follow instructions and navigate in real scenes. To remember previously visited locations and actio…

cs.CV2021

Airbert: In-domain Pretraining for Vision-and-Language Navigation

Pierre-Louis Guhur, Makarand Tapaswi, Shizhe Chen +2

Vision-and-language navigation (VLN) aims to enable embodied agents to navigate in realistic environments using natural language instructions. Given the scarcity of domain-specific…

cs.CV2021

Towards unconstrained joint hand-object reconstruction from RGB videos

Yana Hasson, Gül Varol, Ivan Laptev +1

Our work aims to obtain 3D reconstruction of hands and manipulated objects from monocular videos. Reconstructing hand-object manipulations holds a great potential for robotics and…

cs.CV2021★ 30 cited

CCVS: Context-aware Controllable Video Synthesis

Guillaume Le Moing, Jean Ponce, Cordelia Schmid

This presentation introduces a self-supervised learning approach to the synthesis of new video clips from old ones, with several new key elements for improved spatial resolution an…