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08/23/2023
Diffusion-based Image Translation with Label Guidance for Domain Adaptive Semantic Segmentation
Translating images from a source domain to a target domain for learning ...
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08/11/2023
Deepsea: A Meta-ocean Prototype for Undersea Exploration
Metaverse has attracted great attention from industry and academia in re...
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08/03/2023
DualCoOp++: Fast and Effective Adaptation to Multi-Label Recognition with Limited Annotations
Multi-label image recognition in the low-label regime is a task of great...
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06/15/2023
Non-Asymptotic Performance of Social Machine Learning Under Limited Data
This paper studies the probability of error associated with the social m...
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04/14/2023
Submerse: Visualizing Storm Surge Flooding Simulations in Immersive Display Ecologies
We present Submerse, an end-to-end framework for visualizing flooding sc...
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04/09/2023
Token Boosting for Robust Self-Supervised Visual Transformer Pre-training
Learning with large-scale unlabeled data has become a powerful tool for ...
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06/20/2022
DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited Annotations
Solving multi-label recognition (MLR) for images in the low-label regime...
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04/07/2022
Many-to-many Splatting for Efficient Video Frame Interpolation
Motion-based video frame interpolation commonly relies on optical flow t...
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03/14/2022
Optimal Aggregation Strategies for Social Learning over Graphs
Adaptive social learning is a useful tool for studying distributed decis...
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02/21/2022
Geometry-Aware Planar Embedding of Treelike Structures
The growing complexity of spatial and structural information in 3D data ...
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01/25/2022
Splatting-based Synthesis for Video Frame Interpolation
Frame interpolation is an essential video processing technique that adju...
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12/03/2021
Learning to Detect Every Thing in an Open World
Many open-world applications require the detection of novel objects, yet...
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06/11/2021
Conterfactual Generative Zero-Shot Semantic Segmentation
zero-shot learning is an essential part of computer vision. As a classic...
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06/04/2021
ZeroWaste Dataset: Towards Automated Waste Recycling
Less than 35 leads to increased soil and sea pollution and is one of the...
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07/07/2020
Real-time Semantic Segmentation with Fast Attention
In deep CNN based models for semantic segmentation, high accuracy relies...
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04/03/2020
Temporally Distributed Networks for Fast Video Segmentation
We present TDNet, a temporally distributed network designed for fast and...
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04/03/2020
Temporally Distributed Networks for Fast Video Semantic Segmentation
We present TDNet, a temporally distributed network designed for fast and...
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06/11/2019
Weakly-supervised Compositional FeatureAggregation for Few-shot Recognition
Learning from a few examples is a challenging task for machine learning....
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09/01/2017
Isogeometric analysis of thin Reissner-Mindlin plates and shells: locking phenomena and B-bar method
We propose a local type of B-bar formulation, addressing locking in dege...
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09/01/2017