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08/13/2023
LAW-Diffusion: Complex Scene Generation by Diffusion with Layouts
Thanks to the rapid development of diffusion models, unprecedented progr...
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08/09/2023
MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner for Open-World Semantic Segmentation
Recently, semantic segmentation models trained with image-level text sup...
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07/07/2023
Language-free Compositional Action Generation via Decoupling Refinement
Composing simple elements into complex concepts is crucial yet challengi...
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04/20/2023
LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields
We introduce a new task, novel view synthesis for LiDAR sensors. While t...
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11/27/2022
Traditional Classification Neural Networks are Good Generators: They are Competitive with DDPMs and GANs
Classifiers and generators have long been separated. We break down this ...
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11/12/2022
Structure-Preserving 3D Garment Modeling with Neural Sewing Machines
3D Garment modeling is a critical and challenging topic in the area of c...
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10/16/2022
Learning Self-Regularized Adversarial Views for Self-Supervised Vision Transformers
Automatic data augmentation (AutoAugment) strategies are indispensable i...
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08/08/2022
Understanding Weight Similarity of Neural Networks via Chain Normalization Rule and Hypothesis-Training-Testing
We present a weight similarity measure method that can quantify the weig...
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03/28/2022
Automated Progressive Learning for Efficient Training of Vision Transformers
Recent advances in vision Transformers (ViTs) have come with a voracious...
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03/24/2022
Beyond Fixation: Dynamic Window Visual Transformer
Recently, a surge of interest in visual transformers is to reduce the co...
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09/21/2021
DS-Net++: Dynamic Weight Slicing for Efficient Inference in CNNs and Transformers
Dynamic networks have shown their promising capability in reducing theor...
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09/15/2021
EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation
Pre-trained language models have shown remarkable results on various NLP...
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08/22/2021
Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift
Recently proposed neural architecture search (NAS) methods co-train bill...
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04/18/2021
Solving Inefficiency of Self-supervised Representation Learning
Self-supervised learning has attracted great interest due to its tremend...
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03/31/2021
Joint Learning of Neural Transfer and Architecture Adaptation for Image Recognition
Current state-of-the-art visual recognition systems usually rely on the ...
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03/24/2021
Dynamic Slimmable Network
Current dynamic networks and dynamic pruning methods have shown their pr...
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03/23/2021
BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search
A myriad of recent breakthroughs in hand-crafted neural architectures fo...
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07/06/2020
EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning
Finding out the computational redundant part of a trained Deep Neural Ne...
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04/08/2020
Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking
The success of DNNs has driven the extensive applications of person re-i...
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11/29/2019
Blockwisely Supervised Neural Architecture Search with Knowledge Distillation
Neural Architecture Search (NAS), aiming at automatically designing netw...
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07/27/2019
Learnable Parameter Similarity
Most of the existing approaches focus on specific visual tasks while ign...
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04/08/2019
Weakly Supervised Person Re-identification: Cost-effective Learning with A New Benchmark
Person re-identification (ReID) benefits greatly from the accurate annot...
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04/07/2019
Adaptively Connected Neural Networks
This paper presents a novel adaptively connected neural network (ACNet) ...
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02/09/2018
Batch Kalman Normalization: Towards Training Deep Neural Networks with Micro-Batches
As an indispensable component, Batch Normalization (BN) has successfully...
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09/27/2017
Scene Parsing by Weakly Supervised Learning with Image Descriptions
This paper investigates a fundamental problem of scene understanding: ho...
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05/13/2016
Cross-Domain Visual Matching via Generalized Similarity Measure and Feature Learning
Cross-domain visual data matching is one of the fundamental problems in ...
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04/15/2016
DARI: Distance metric And Representation Integration for Person Verification
The past decade has witnessed the rapid development of feature represent...
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04/08/2016
Deep Structured Scene Parsing by Learning with Image Descriptions
This paper addresses a fundamental problem of scene understanding: How t...
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12/11/2015