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08/17/2023
Fine-grained Text and Image Guided Point Cloud Completion with CLIP Model
This paper focuses on the recently popular task of point cloud completio...
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05/05/2023
Leaf Cultivar Identification via Prototype-enhanced Learning
Plant leaf identification is crucial for biodiversity protection and con...
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10/04/2022
Collecting The Puzzle Pieces: Disentangled Self-Driven Human Pose Transfer by Permuting Textures
Human pose transfer aims to synthesize a new view of a person under a gi...
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07/13/2022
Supervised Attribute Information Removal and Reconstruction for Image Manipulation
The goal of attribute manipulation is to control specified attribute(s) ...
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02/13/2022
BViT: Broad Attention based Vision Transformer
Recent works have demonstrated that transformer can achieve promising pe...
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11/15/2021
Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search
Different from other deep scalable architecture based NAS approaches, Br...
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10/08/2021
ABCP: Automatic Block-wise and Channel-wise Network Pruning via Joint Search
Currently, an increasing number of model pruning methods are proposed to...
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07/06/2021
Predicate correlation learning for scene graph generation
For a typical Scene Graph Generation (SGG) method, there is often a larg...
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09/22/2020
Heuristic Rank Selection with Progressively Searching Tensor Ring Network
Recently, Tensor Ring Networks (TRNs) have been applied in deep networks...
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09/18/2020
Faster Gradient-based NAS Pipeline Combining Broad Scalable Architecture with Confident Learning Rate
In order to further improve the search efficiency of Neural Architecture...
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07/21/2020
Towards Visual Distortion in Black-Box Attacks
Constructing adversarial examples in a black-box threat model injures th...
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03/24/2020
Learning Compact Reward for Image Captioning
Adversarial learning has shown its advances in generating natural and di...
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01/18/2020
Efficient Neural Architecture Search: A Broad Version
Efficient Neural Architecture Search (ENAS) achieves novel efficiency fo...
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12/23/2019
A Survey of Deep Reinforcement Learning in Video Games
Deep reinforcement learning (DRL) has made great achievements since prop...
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03/18/2019
Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection
Video anomaly detection under weak labels is formulated as a typical mul...
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11/06/2018
BLP - Boundary Likelihood Pinpointing Networks for Accurate Temporal Action Localization
Despite tremendous progress achieved in temporal action detection, state...
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07/09/2018
Step-by-step Erasion, One-by-one Collection: A Weakly Supervised Temporal Action Detector
Weakly supervised temporal action detection is a Herculean task in under...
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01/22/2018
MRI Image-to-Image Translation for Cross-Modality Image Registration and Segmentation
We develop a novel cross-modality generation framework that learns to ge...
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06/22/2017
A Self-Adaptive Proposal Model for Temporal Action Detection based on Reinforcement Learning
Existing action detection algorithms usually generate action proposals t...
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08/23/2016