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08/21/2023
Enhancing Medical Image Segmentation: Optimizing Cross-Entropy Weights and Post-Processing with Autoencoders
The task of medical image segmentation presents unique challenges, neces...
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07/27/2023
Taxonomy Adaptive Cross-Domain Adaptation in Medical Imaging via Optimization Trajectory Distillation
The success of automated medical image analysis depends on large-scale a...
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07/24/2023
Rule By Example: Harnessing Logical Rules for Explainable Hate Speech Detection
Classic approaches to content moderation typically apply a rule-based he...
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05/17/2023
Rethinking Multimodal Content Moderation from an Asymmetric Angle with Mixed-modality
There is a rapidly growing need for multimodal content moderation (CM) a...
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08/01/2022
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation
Video Object Segmentation (VOS) is fundamental to video understanding. T...
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06/09/2022
GateHUB: Gated History Unit with Background Suppression for Online Action Detection
Online action detection is the task of predicting the action as soon as ...
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10/25/2021
MUSE: Feature Self-Distillation with Mutual Information and Self-Information
We present a novel information-theoretic approach to introduce dependenc...
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09/30/2021
Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned Meta-Adaptation
We present MetaUVFS as the first Unsupervised Meta-learning algorithm fo...
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06/08/2021
Seismic Inverse Modeling Method based on Generative Adversarial Network
Seismic inverse modeling is a common method in reservoir prediction and ...
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03/15/2021
Revisiting Dynamic Convolution via Matrix Decomposition
Recent research in dynamic convolution shows substantial performance boo...
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02/21/2021
Weak NAS Predictors Are All You Need
Neural Architecture Search (NAS) finds the best network architecture by ...
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06/14/2020
RasterNet: Modeling Free-Flow Speed using LiDAR and Overhead Imagery
Roadway free-flow speed captures the typical vehicle speed in low traffi...
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05/21/2020
HyperSTAR: Task-Aware Hyperparameters for Deep Networks
While deep neural networks excel in solving visual recognition tasks, th...
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05/05/2020
Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-weighting
Unsupervised domain adaptation (UDA) for nuclei instance segmentation is...
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12/14/2019
Region and Object based Panoptic Image Synthesis through Conditional GANs
Image-to-image translation is significant to many computer vision and ma...
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01/17/2019