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04/11/2023
StageInteractor: Query-based Object Detector with Cross-stage Interaction
Previous object detectors make predictions based on dense grid points or...
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03/26/2023
PDPP:Projected Diffusion for Procedure Planning in Instructional Videos
In this paper, we study the problem of procedure planning in instruction...
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02/22/2023
Efficient Training of Large-scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout
Artificial intelligence (AI)-empowered industrial fault diagnostics is i...
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02/13/2023
CoMAE: Single Model Hybrid Pre-training on Small-Scale RGB-D Datasets
Current RGB-D scene recognition approaches often train two standalone ba...
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11/17/2022
Personalized Federated Learning for Multi-task Fault Diagnosis of Rotating Machinery
Intelligent fault diagnosis is essential to safe operation of machinery....
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06/06/2022
Real2Sim or Sim2Real: Robotics Visual Insertion using Deep Reinforcement Learning and Real2Sim Policy Adaptation
Reinforcement learning has shown a wide usage in robotics tasks, such as...
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05/26/2022
Cross-Architecture Self-supervised Video Representation Learning
In this paper, we present a new cross-architecture contrastive learning ...
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05/12/2022
Economical Precise Manipulation and Auto Eye-Hand Coordination with Binocular Visual Reinforcement Learning
Precision robotic manipulation tasks (insertion, screwing, precisely pic...
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04/18/2022
MHSCNet: A Multimodal Hierarchical Shot-aware Convolutional Network for Video Summarization
Video summarization intends to produce a concise video summary by effect...
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03/30/2022
AdaMixer: A Fast-Converging Query-Based Object Detector
Traditional object detectors employ the dense paradigm of scanning over ...
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01/07/2022
Semi-Supervised Clustering with Contrastive Learning for Discovering New Intents
Most dialogue systems in real world rely on predefined intents and answe...
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12/02/2021
InsCLR: Improving Instance Retrieval with Self-Supervision
This work aims at improving instance retrieval with self-supervision. We...
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10/24/2021
A Closer Look at Few-Shot Video Classification: A New Baseline and Benchmark
The existing few-shot video classification methods often employ a meta-l...
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07/28/2021
WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for Noise-Robust Image Classification
Though widely used in image classification, convolutional neural network...
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07/09/2021
Mutually-aware Sub-Graphs Differentiable Architecture Search
Differentiable architecture search is prevalent in the field of NAS beca...
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01/11/2021
Unchain the Search Space with Hierarchical Differentiable Architecture Search
Differentiable architecture search (DAS) has made great progress in sear...
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07/23/2020
Representation Sharing for Fast Object Detector Search and Beyond
Region Proposal Network (RPN) provides strong support for handling the s...
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05/07/2020
Wavelet Integrated CNNs for Noise-Robust Image Classification
Convolutional Neural Networks (CNNs) are generally prone to noise interr...
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05/05/2020
Exploring Contextual Word-level Style Relevance for Unsupervised Style Transfer
Unsupervised style transfer aims to change the style of an input sentenc...
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02/18/2020
Knowledge Integration Networks for Action Recognition
In this work, we propose Knowledge Integration Networks (referred as KIN...
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02/18/2020
V4D:4D Convolutional Neural Networks for Video-level Representation Learning
Most existing 3D CNNs for video representation learning are clip-based m...
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10/07/2019
Label-PEnet: Sequential Label Propagation and Enhancement Networks forWeakly Supervised Instance Segmentation
Weakly-supervised instance segmentation aims to detect and segment objec...
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06/13/2019
The iMaterialist Fashion Attribute Dataset
Large-scale image databases such as ImageNet have significantly advanced...
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11/05/2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Gliomas are the most common primary brain malignancies, with different d...
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08/03/2018
CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images
We present a simple yet efficient approach capable of training deep neur...
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10/04/2016
Knowledge Guided Disambiguation for Large-Scale Scene Classification with Multi-Resolution CNNs
Convolutional Neural Networks (CNNs) have made remarkable progress on sc...
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01/27/2016
Locally-Supervised Deep Hybrid Model for Scene Recognition
Convolutional neural networks (CNN) have recently achieved remarkable su...
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10/14/2015
Better Exploiting OS-CNNs for Better Event Recognition in Images
Event recognition from still images is one of the most important problem...
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08/03/2015
