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09/06/2023
RepSGG: Novel Representations of Entities and Relationships for Scene Graph Generation
Scene Graph Generation (SGG) has achieved significant progress recently....
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04/12/2023
RECLIP: Resource-efficient CLIP by Training with Small Images
We present RECLIP (Resource-efficient CLIP), a simple method that minimi...
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07/18/2022
MonoIndoor++:Towards Better Practice of Self-Supervised Monocular Depth Estimation for Indoor Environments
Self-supervised monocular depth estimation has seen significant progress...
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04/22/2022
Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation
A high-resolution network exhibits remarkable capability in extracting m...
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08/17/2021
Transferring Knowledge with Attention Distillation for Multi-Domain Image-to-Image Translation
Gradient-based attention modeling has been used widely as a way to visua...
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08/05/2021
Ada-VSR: Adaptive Video Super-Resolution with Meta-Learning
Most of the existing works in supervised spatio-temporal video super-res...
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07/27/2021
Learning Local Recurrent Models for Human Mesh Recovery
We consider the problem of estimating frame-level full human body meshes...
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07/26/2021
MonoIndoor: Towards Good Practice of Self-Supervised Monocular Depth Estimation for Indoor Environments
Self-supervised depth estimation for indoor environments is more challen...
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03/30/2021
Fully Convolutional Scene Graph Generation
This paper presents a fully convolutional scene graph generation (FCSGG)...
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05/14/2020
SAGE: Sequential Attribute Generator for Analyzing Glioblastomas using Limited Dataset
While deep learning approaches have shown remarkable performance in many...
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11/18/2019
