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08/12/2023
Seed Feature Maps-based CNN Models for LEO Satellite Remote Sensing Services
Deploying high-performance convolutional neural network (CNN) models on ...
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08/03/2023
Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives
Multi-task learning (MTL) seeks to learn a single model to accomplish mu...
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02/15/2023
TFormer: A Transmission-Friendly ViT Model for IoT Devices
Deploying high-performance vision transformer (ViT) models on ubiquitous...
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12/21/2022
Revisiting Residual Networks for Adversarial Robustness: An Architectural Perspective
Efforts to improve the adversarial robustness of convolutional neural ne...
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08/14/2022
Surrogate-assisted Multi-objective Neural Architecture Search for Real-time Semantic Segmentation
The architectural advancements in deep neural networks have led to remar...
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08/08/2022
Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment
The ongoing advancements in network architecture design have led to rema...
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07/20/2022
Towards Transmission-Friendly and Robust CNN Models over Cloud and Device
Deploying deep convolutional neural network (CNN) models on ubiquitous I...
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06/17/2022
VLMixer: Unpaired Vision-Language Pre-training via Cross-Modal CutMix
Existing vision-language pre-training (VLP) methods primarily rely on pa...
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04/13/2022
Semantic-Aware Pretraining for Dense Video Captioning
This report describes the details of our approach for the event dense-ca...
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02/14/2022
GAMMA Challenge:Glaucoma grAding from Multi-Modality imAges
Color fundus photography and Optical Coherence Tomography (OCT) are the ...
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10/08/2021
Accelerating Multi-Objective Neural Architecture Search by Random-Weight Evaluation
For the goal of automated design of high-performance deep convolutional ...
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08/17/2021
End-to-End Dense Video Captioning with Parallel Decoding
Dense video captioning aims to generate multiple associated captions wit...
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08/16/2021
FaPN: Feature-aligned Pyramid Network for Dense Image Prediction
Recent advancements in deep neural networks have made remarkable leap-fo...
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04/01/2021
The surprising impact of mask-head architecture on novel class segmentation
Instance segmentation models today are very accurate when trained on lar...
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01/11/2021
Learning from Weakly-labeled Web Videos via Exploring Sub-Concepts
Learning visual knowledge from massive weakly-labeled web videos has att...
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11/27/2020
Multi-objective Neural Architecture Search with Almost No Training
In the recent past, neural architecture search (NAS) has attracted incre...
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09/28/2020
PERF-Net: Pose Empowered RGB-Flow Net
In recent years, many works in the video action recognition literature h...
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07/20/2020
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search
In this paper, we propose an efficient NAS algorithm for generating task...
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05/12/2020
Neural Architecture Transfer
Neural architecture search (NAS) has emerged as a promising avenue for a...
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04/02/2020
DOPS: Learning to Detect 3D Objects and Predict their 3D Shapes
We propose DOPS, a fast single-stage 3D object detection method for LIDA...
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03/31/2020
MUXConv: Information Multiplexing in Convolutional Neural Networks
Convolutional neural networks have witnessed remarkable improvements in ...
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03/30/2020
RetinaTrack: Online Single Stage Joint Detection and Tracking
Traditionally multi-object tracking and object detection are performed u...
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12/03/2019
Multi-Criterion Evolutionary Design of Deep Convolutional Neural Networks
Convolutional neural networks (CNNs) are the backbones of deep learning ...
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10/08/2018
