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Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model
Training deep neural networks usually requires a large amount of labeled...
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Residual Knowledge Distillation
Knowledge distillation (KD) is one of the most potent ways for model com...
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Deep Network Interpolation for Continuous Imagery Effect Transition
Deep convolutional neural network has demonstrated its capability of lea...
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Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets
We present a new loss function called Distribution-Balanced Loss for the...
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Learning to Cluster Faces via Confidence and Connectivity Estimation
Face clustering is an essential tool for exploiting the unlabeled face d...
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Monocular 3D Pose Recovery via Nonconvex Sparsity with Theoretical Analysis
For recovering 3D object poses from 2D images, a prevalent method is to ...
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Unpaired Multi-modal Segmentation via Knowledge Distillation
Multi-modal learning is typically performed with network architectures c...
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Monocular 3D Object Detection with Decoupled Structured Polygon Estimation and Height-Guided Depth Estimation
Monocular 3D object detection task aims to predict the 3D bounding boxes...
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Unsupervised Image Transformation Learning via Generative Adversarial Networks
In this work, we study the image transformation problem by learning the ...
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UPSNet: A Unified Panoptic Segmentation Network
In this paper, we propose a unified panoptic segmentation network (UPSNe...
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Visualizing and Understanding Generative Adversarial Networks (Extended Abstract)
Generative Adversarial Networks (GANs) have achieved impressive results ...
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Temporal Pyramid Network for Action Recognition
Visual tempo characterizes the dynamics and the temporal scale of an act...
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Semantic Photo Manipulation with a Generative Image Prior
Despite the recent success of GANs in synthesizing images conditioned on...
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Region Proposal by Guided Anchoring
Region anchors are the cornerstone of modern object detection techniques...
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Stochastic Online Learning with Probabilistic Graph Feedback
We consider a problem of stochastic online learning with general probabi...
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Side-Aware Boundary Localization for More Precise Object Detection
Current object detection frameworks mainly rely on bounding box regressi...
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TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting
We present a lightweight video motion retargeting approach TransMoMo tha...
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Human vs Machine Attention in Neural Networks: A Comparative Study
Recent years have witnessed a surge in the popularity of attention mecha...
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ST3D: Self-training for Unsupervised Domain Adaptation on 3D ObjectDetection
We present a new domain adaptive self-training pipeline, named ST3D, for...
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Temporal Interlacing Network
For a long time, the vision community tries to learn the spatio-temporal...
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3DSSD: Point-based 3D Single Stage Object Detector
Currently, there have been many kinds of voxel-based 3D single stage det...
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Balanced Meta-Softmax for Long-Tailed Visual Recognition
Deep classifiers have achieved great success in visual recognition. Howe...
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Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs
Graph neural networks (GNNs) have received much attention recently becau...
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Single-Layer Graph Convolutional Networks For Recommendation
Graph Convolutional Networks (GCNs) and their variants have received sig...
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Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models
We introduce a new molecular dataset, named Alchemy, for developing mach...
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Deep Floor Plan Recognition Using a Multi-Task Network with Room-Boundary-Guided Attention
This paper presents a new approach to recognize elements in floor plan l...
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Real or Not Real, that is the Question
While generative adversarial networks (GAN) have been widely adopted in ...
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A Rotation-Invariant Framework for Deep Point Cloud Analysis
Recently, many deep neural networks were designed to process 3D point cl...
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Improving the Fairness of Deep Generative Models without Retraining
Generative Adversarial Networks (GANs) have recently advanced face synth...
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Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation
Deep convolutional neural networks have achieved remarkable progress on ...
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Deep Flow-Guided Video Inpainting
Video inpainting, which aims at filling in missing regions of a video, r...
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P2SGrad: Refined Gradients for Optimizing Deep Face Models
Cosine-based softmax losses significantly improve the performance of dee...
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Knowledge Distillation Meets Self-Supervision
Knowledge distillation, which involves extracting the "dark knowledge" f...
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Deep Mining External Imperfect Data for Chest X-ray Disease Screening
Deep learning approaches have demonstrated remarkable progress in automa...
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Photon: A Robust Cross-Domain Text-to-SQL System
Natural language interfaces to databases (NLIDB) democratize end user ac...
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Open-Edit: Open-Domain Image Manipulation with Open-Vocabulary Instructions
We propose a novel algorithm, named Open-Edit, which is the first attemp...
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AutoLoss-Zero: Searching Loss Functions from Scratch for Generic Tasks
Significant progress has been achieved in automating the design of vario...
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Patch-based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation
Glaucoma is a leading cause of irreversible blindness. Accurate segmenta...
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Salient Object Detection in the Deep Learning Era: An In-Depth Survey
As an important problem in computer vision, salient object detection (SO...
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EDVR: Video Restoration with Enhanced Deformable Convolutional Networks
Video restoration tasks, including super-resolution, deblurring, etc, ar...
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STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems
We propose a new STAcked and Reconstructed Graph Convolutional Networks ...
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Aggregation via Separation: Boosting Facial Landmark Detector with Semi-Supervised Style Translation
Facial landmark detection, or face alignment, is a fundamental task that...
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Learning to Synthesize Fashion Textures
Existing unconditional generative models mainly focus on modeling genera...
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Dual-Teacher: Integrating Intra-domain and Inter-domain Teachers for Annotation-efficient Cardiac Segmentation
Medical image annotations are prohibitively time-consuming and expensive...
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Pixel-Face: A Large-Scale, High-Resolution Benchmark for 3D Face Reconstruction
3D face reconstruction is a fundamental task that can facilitate numerou...
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Rethinking the Form of Latent States in Image Captioning
RNNs and their variants have been widely adopted for image captioning. I...
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Do Normalization Layers in a Deep ConvNet Really Need to Be Distinct?
Yes, they do. This work investigates a perspective for deep learning: wh...
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Improved Algorithm on Online Clustering of Bandits
We generalize the setting of online clustering of bandits by allowing no...
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Large-Scale Long-Tailed Recognition in an Open World
Real world data often have a long-tailed and open-ended distribution. A ...
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Path-Restore: Learning Network Path Selection for Image Restoration
Very deep Convolutional Neural Networks (CNNs) have greatly improved the...
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