- Visual Object Detection, Recognition & Tracking (without Deep Learning)
- Visual Detection, Recognition and Tracking with Deep Learning
- SLAM, Visual Odometry, Structure from Motion, Multiple View Stereo
- Deep learning for image denoising and superresolution
- A Full-stack Accelerator Search Technique for Vision Applications
- Survey: Convolution Neural networks in Object Detection
2018-19
- Understanding Convolutional Neural Networks with Information Theory: An Initial Exploration
- All You Need is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification
- Evolving Deep Convolutional Neural Networks for Image Classification
- A Survey of the Recent Architectures of Deep Convolutional Neural Networks
- Convolutional Neural Networks combined with Runge-Kutta Methods
- UAN: Unified Attention Network for Convolutional Neural Networks
- Distill-Net: Application-Specific Distillation of Deep Convolutional Neural Networks for Resource-Constrained IoT Platforms
- CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks
- Convolutional Neural Networks Deceived by Visual Illusions
- Accelerating the Evolution of Convolutional Neural Networks with Node-Level Mutations and Epigenetic Weight Initialization
- Newton Methods for Convolutional Neural Networks
- Alpha-Pooling for Convolutional Neural Networks
- Distilling Critical Paths in Convolutional Neural Networks
- MPNA: A Massively-Parallel Neural Array Accelerator with Dataflow Optimization for Convolutional Neural Networks
- A Bi-layered Parallel Training Architecture for Large-scale Convolutional Neural Networks
- Convolutional Neural Networks In Convolution
- Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks
- Recent Advances in Convolutional Neural Networks. 2017 [arxiv]
- Recent Advances in Efficient Computation of Deep Convolutional Neural Networks. 2018. [arxiv]
- Efficient Processing of Deep Neural Networks: A Tutorial and Survey. 2017. [arxiv]
- Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future Directions.2018 [arxiv]
- How convolutional neural network see the world - A survey of convolutional neural network visualization methods. 2018 [arxiv]
- A Non-Technical Survey on Deep Convolutional Neural Network Architectures. 2018 [arxiv]
- The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches. 2018. [arxiv]
- Comparative Study of CNN and RNN for Natural Language Processing
- A Survey on Deep Learning Methods for Robot Vision
- A Taxonomy of Deep Convolutional Neural Nets for Computer Vision
- cvpaper.challenge in 2016: Futuristic Computer Vision through 1,600 Papers Survey
- Understanding image representations by measuring their equivariance and equivalence, CVPR, 2015. [Paper]
- Deep Neural Networks are Easily Fooled:High Confidence Predictions for Unrecognizable Images, CVPR, 2015. [Paper]
- Understanding Deep Image Representations by Inverting Them, CVPR, 2015. [Paper]
- Object Detectors Emerge in Deep Scene CNNs, ICLR, 2015. [arXiv Paper]
- Inverting Visual Representations with Convolutional Networks, arXiv, 2015. [Paper]
- Visualizing and Understanding Convolutional Networks, ECCV, 2014. [Paper]
- Automatically Evolving CNN Architectures Based on Blocks
- Systolic Tensor Array: An Efficient Structured-Sparse GEMM Accelerator for Mobile CNN Inference
- CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization
- Weighted Random Search for CNN Hyperparameter Optimization
- Automatically designing CNN architectures using genetic algorithm for image classification
- A Systematic Evaluation: Fine-Grained CNN vs. Traditional CNN Classifiers
- CNN 101: Interactive Visual Learning for Convolutional Neural Networks
CNN - Aug 2019 - Jan 2020
- CSNNs: Unsupervised, Backpropagation-free Convolutional Neural Networks for Representation Learning
- Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future
- Powerset Convolutional Neural Networks
- Pruning Convolutional Neural Networks with Self-Supervision
- Inferring Convolutional Neural Networks' accuracies from their architectural characterizations ⭐
- CNN 101: Interactive Visual Learning for Convolutional Neural Networks
- A Survey of the Recent Architectures of Deep Convolutional Neural Networks
- TentacleNet: A Pseudo-Ensemble Template for Accurate Binary Convolutional Neural Networks
- diffGrad: An Optimization Method for Convolutional Neural Networks
- Convolutional Neural Networks: A Binocular Vision Perspective
- A Winograd-based Integrated Photonics Accelerator for Convolutional Neural Networks
- Object Detection with Convolutional Neural Networks
- Using Fully Convolutional Neural Networks to detect manipulated images in videos
- EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
- Technical report: supervised training of convolutional spiking neural networks with PyTorch ⭐
- Streaming convolutional neural networks for end-to-end learning with multi-megapixel images
- Multimodal Video-based Apparent Personality Recognition Using Long Short-Term Memory and Convolutional Neural Networks
- Best Practices for Convolutional Neural Networks Applied to Object Recognition in Images
- Ensemble of Convolutional Neural Networks Trained with Different Activation Functions
- Hyperbolic Graph Convolutional Neural Networks
- Aerial Images Processing for Car Detection using Convolutional Neural Networks: Comparison between Faster R-CNN and YoloV3
- Optimizing Convolutional Neural Networks for Embedded Systems by Means of Neuroevolution
- Liver segmentation and metastases detection in MR images using convolutional neural networks
- Training convolutional neural networks with cheap convolutions and online distillation
- Discovering Molecular Functional Groups Using Graph Convolutional Neural Networks ⭐
- GACNN: Training Deep Convolutional Neural Networks with Genetic Algorithm
- Towards Learning of Filter-Level Heterogeneous Compression of Convolutional Neural Networks
- Deep Convolutional Spiking Neural Networks for Image Classification
- The Good, the Bad and the Ugly: Evaluating Convolutional Neural Networks for Prohibited Item Detection Using Real and Synthetically Composited X-ray Imagery
- Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks
- Convolutional neural networks: a magic bullet for gravitational-wave detection?
- ANTNets: Mobile Convolutional Neural Networks for Resource Efficient Image Classification
- Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks
- Diagnosing Cardiac Abnormalities from 12-Lead Electrocardiograms Using Enhanced Deep Convolutional Neural Networks
- Universal Pooling -- A New Pooling Method for Convolutional Neural Networks
- SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks with at most one Spike per Neuron
- AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway Segmentation Using Convolutional Neural Networks
- Neuron ranking -- an informed way to condense convolutional neural networks architecture
- INODE: Building an End-to-End Data Exploration System in Practice [Extended Vision]
- Shuffler: A Large Scale Data Management Tool for ML in Computer Vision
- Reconsidering CO2 emissions from Computer Vision
- Application of Computer Vision and Machine Learning for Digitized Herbarium Specimens: A Systematic Literature Review
- A survey of image labelling for computer vision applications
- Computer vision in automated parking systems: Design, implementation and challenges
- WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training
- Transformers in Vision: A Survey
- Representing Numbers in NLP: a Survey and a Vision
- Deep Learning and Machine Vision for Food Processing: A Survey