TreEnhance: A tree search method for low-light image enhancement

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

Selvaraju, R. R., Cogswell, M., Das, A., Vedantam, R., Parikh, D., & Batra, D. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2017.74 · Cited by 24,513 · see citing works

A Unified Approach to Interpreting Model Predictions

Lundberg, S., & Lee, S.-I. (2017) · arXiv · doi:10.48550/arxiv.1705.07874 · Cited by 23,707 · see citing works

Unpaired image-to-image translation using cycle-consistent adversarial networks

Zhu, J.-Y., Park, T., Isola, P., & Efros, A. A. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2017.244 · Cited by 23,602 · see citing works

Image-to-Image Translation with Conditional Adversarial Networks

Isola, P., Zhu, J.-Y., Zhou, T., & Efros, A. A. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.632 · Cited by 22,930 · see citing works

The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

Zhang, R., Isola, P., Efros, A. A., Shechtman, E., & Wang, O. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2018.00068 · Cited by 14,623 · see citing works

Proceedings of IEEE Conference on Computer Vision and Pattern Recognition

(1993) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.1993.341010 · Cited by 14,474 · see citing works

Proceedings of IEEE International Conference on Computer Vision

(1995) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.1995.466933 · Cited by 13,117 · see citing works

On a Method to Measure Supervised Multiclass Model’s Interpretability: Application to Degradation Diagnosis (Short Paper)

Gauriat, C.-M., Pencolé, Y., Ribot, P., et al. (2024) · HAL · doi:10.4230/oasics.dx.2024.27 · Cited by 12,623 · see citing works

A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play

Silver, D., Hubert, T., Schrittwieser, J., Antonoglou, I., Lai, M., Guez, A., Lanctot, M., Sifre, L., Kumaran, D., Graepel, T., et al. (2018) · Science · doi:10.1126/science.aar6404 · Cited by 3,562 · cited 1× · see citing works

Diffusion Models Beat GANs on Image Synthesis

Dhariwal, P., & Nichol, A. (2021) · arXiv · doi:10.48550/arxiv.2105.05233 · Cited by 3,362 · see citing works

A Survey of Monte Carlo Tree Search Methods

Browne, C. B., Powley, E., Whitehouse, D., Lucas, S. M., Cowling, P. I., Rohlfshagen, P., Tavener, S., Perez, D., Samothrakis, S., & Colton, S. (2012) · IEEE Transactions on Computational Intelligence and AI in Games · doi:10.1109/tciaig.2012.2186810 · Cited by 2,970 · see citing works

EnlightenGAN: Deep Light Enhancement Without Paired Supervision

Jiang, Y., Gong, X., Liu, D., Cheng, Y., Chen, F., Shen, X., Yang, J., Zhou, P., & Wang, Z. (2021) · IEEE Transactions on Image Processing · doi:10.1109/tip.2021.3051462 · Cited by 2,757 · see citing works

Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement

Guo, C., Li, C., Guo, J., Loy, C. C., Hou, J., Kwong, S., & Cong, R. (2020) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr42600.2020.00185 · Cited by 2,632 · see citing works

LLNet: A deep autoencoder approach to natural low-light image enhancement

Lore, K. G., Akintayo, A., & Sarkar, S. (2016) · Pattern Recognition · doi:10.1016/j.patcog.2016.06.008 · Cited by 1,973 · see citing works

Palette: Image-to-Image Diffusion Models

Saharia, C., Chan, W., Chang, H., Lee, C., Ho, J., Salimans, T., Fleet, D., & Norouzi, M. (2022) · Special Interest Group on Computer Graphics and Interactive Techniques Conference Proceedings · doi:10.1145/3528233.3530757 · Cited by 1,717 · see citing works

Deep Retinex Decomposition for Low-Light EnhancementPreprint

Wei, C., Wang, W., Yang, W., & Liu, J. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1808.04560 · Cited by 1,550 · see citing works

Proceedings of the 2nd International Conference on Neural Information Processing Systems

Touretzky, D. S. (1989) · Cited by 1,413 · see citing works

Deep bilateral learning for real-time image enhancement

Gharbi, M., Chen, J., Barron, J. T., Hasinoff, S. W., & Durand, F. (2017) · ACM Transactions on Graphics · doi:10.1145/3072959.3073592 · Cited by 805 · see citing works

Learning photographic global tonal adjustment with a database of input/output image pairs

Bychkovsky, V., Paris, S., Chan, E., & Durand, F. (2011) · doi:10.1109/cvpr.2011.5995413 · Cited by 666 · see citing works

DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks

Ignatov, A., Kobyshev, N., Timofte, R., & Vanhoey, K. (2017) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2017.355 · Cited by 608 · see citing works

DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation

Kim, G., Kwon, T., & Ye, J. C. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr52688.2022.00246 · Cited by 570 · see citing works

MBLLEN: Low-Light Image/Video Enhancement Using CNNs.

Lv, F., Lu, F., Wu, J., & Lim, C. (2018) · Cited by 543 · see citing works

British Machine Vision Conference 1999

Pridmore, T. (2002) · Image and Vision Computing · doi:10.1016/s0262-8856(02)00002-1 · Cited by 495 · see citing works

Proceedings of the 27th ACM International Conference on Multimedia

Amsaleg, L., Huet, B., Larson, M., et al. (2019) · doi:10.1145/3343031 · Cited by 454 · see citing works

Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction

Cai, Y., Lin, J., Hu, X., Wang, H., Yuan, X., Zhang, Y., Timofte, R., & Gool, L. V. (2022) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52688.2022.01698 · Cited by 404 · see citing works

2021 IEEE International Conference on Multimedia and Expo (ICME)

(2021) · doi:10.1109/icme51207.2021 · Cited by 327 · see citing works

Exposure

Hu, Y., He, H., Xu, C., Wang, B., & Lin, S. C.-F. (2018) · ACM Transactions on Graphics · doi:10.1145/3181974 · Cited by 321 · see citing works

Zero-Shot Restoration of Underexposed Images via Robust Retinex Decomposition

Zhu, A., Zhang, L., Shen, Y., Ma, Y., Zhao, S., & Zhou, Y. (2020) · 2020 IEEE International Conference on Multimedia and Expo (ICME) · doi:10.1109/icme46284.2020.9102962 · Cited by 317 · see citing works

DSLR: Deep Stacked Laplacian Restorer for Low-Light Image Enhancement

Lim, S., & Kim, W. (2020) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2020.3039361 · Cited by 296 · see citing works

Distort-and-Recover: Color Enhancement Using Deep Reinforcement Learning

Park, J., Lee, J., Yoo, D., & Kweon, I. S. (2018) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2018.00621 · Cited by 227 · see citing works

Kindling the Darkness: A Practical Low-light Image EnhancerPreprint

Zhang, Y., Zhang, J., & Guo, X. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1905.04161 · Cited by 217 · see citing works

Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning

Yu, K., Dong, C., Lin, L., & Loy, C. C. (2018) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2018.00259 · Cited by 213 · see citing works

Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction

Lin, J., Cai, Y.-Y., Hu, X., Wang, H.-Q., Yuan, X., Zhang, Y.-L., Timofte, R., & Gool, L. V. (2022) · European Conference on Computer Vision · doi:10.48550/arxiv.2203.04845 · Cited by 209

Zero-Shot Restoration of Back-lit Images Using Deep Internal Learning

Zhang, L., Zhang, L., Liu, X., et al. (2019) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3343031.3351069 · Cited by 183 · see citing works

Conditional Image Generation with Score-Based Diffusion ModelsPreprint

Batzolis, G., Stanczuk, J., Schönlieb, C., & Etmann, C. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2111.13606 · Cited by 157 · see citing works

UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic ModelsPreprint

Sasaki, H., Willcocks, C. G., & Breckon, T. P. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2104.05358 · Cited by 140 · see citing works

STAR: A Structure-aware Lightweight Transformer for Real-time Image Enhancement

Zhang, Z., Jiang, Y., Jiang, J., Wang, X., Luo, P., & Gu, J. (2021) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv48922.2021.00407 · Cited by 131 · see citing works

Representative Color Transform for Image Enhancement

Kim, H., Choi, S., Kim, C., et al. (2021) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv48922.2021.00442 · Cited by 103 · see citing works

DeepExposure: Learning to Expose Photos with Asynchronously Reinforced Adversarial Learning

Yu, R., Liu, W., Zhang, Y., et al. (2018) · neural information processing systems · Cited by 80 · see citing works

LAE-Net: A locally-adaptive embedding network for low-light image enhancement

Liu, X., Ma, W., Ma, X., & Wang, J. (2022) · Pattern Recognition · doi:10.1016/j.patcog.2022.109039 · Cited by 80 · see citing works

Artistic photo filter removal using convolutional neural networks

Bianco, S., Cusano, C., Piccoli, F., & Schettini, R. (2017) · Journal of Electronic Imaging · doi:10.1117/1.jei.27.1.011004 · Cited by 48 · see citing works

Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial TrainingPreprint

Cai, Y., Hu, X., Wang, H., et al. (2022) · arXiv (Cornell University) · doi:10.48550/arxiv.2204.02844 · Cited by 47 · see citing works

Personalized Image Enhancement Using Neural Spline Color Transforms

Bianco, S., Cusano, C., Piccoli, F., et al. (2020) · IEEE Transactions on Image Processing · doi:10.1109/tip.2020.2989584 · Cited by 37 · see citing works

Supervised and Unsupervised Learning of Parameterized Color Enhancement

Chai, Y., Giryes, R., & Wolf, L. (2020) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv45572.2020.9093321 · Cited by 35 · see citing works

Low-light image enhancement via deep Retinex decomposition and bilateral learning

Lv, X., Sun, Y., Zhang, J., et al. (2021) · Signal Processing Image Communication · doi:10.1016/j.image.2021.116466 · Cited by 27 · see citing works

Personalized Exposure Control Using Adaptive Metering and Reinforcement Learning

Yang, H., Wang, B., Vesdapunt, N., Guo, M., & Kang, S. B. (2018) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2018.2865555 · Cited by 26 · see citing works

Learning Parametric Functions for Color Image Enhancement

Bianco, S., Cusano, C., Piccoli, F., et al. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-13940-7_16 · Cited by 20 · see citing works

C-LIENet: A Multi-Context Low-Light Image Enhancement Network

Ravirathinam, P., Goel, D., & Ranjani, J. J. (2021) · IEEE Access · doi:10.1109/access.2021.3059498 · Cited by 15 · see citing works

3-D tracking of a moving object by an active stereo vision system

Tanaka, M., Maru, N., & Miyazaki, F. (2002) · Annual Conference of the IEEE Industrial Electronics Society (IECON) · doi:10.1109/iecon.1994.397891 · Cited by 9 · see citing works

Self-monitoring to improve robustness of 3D object tracking for robotics

Mörwald, T., Zillich, M., Prankl, J., et al. (2011) · IEEE International Conference on Robotics and Biomimetics (ROBIO) · doi:10.1109/robio.2011.6181734 · Cited by 4 · see citing works

Object-oriented stripe structured-light vision-guided robot

Zhang, L., & Zhang, J. (2017) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/smc.2017.8122842 · Cited by 2 · see citing works

Robust object tracking based on RGB-D camera

Qi, W., Yang, Y., Yi, M., et al. (2014) · World Congress on Intelligent Control and Automation · doi:10.1109/wcica.2014.7053184

An Object Detection and Pose Estimation Approach for Position Based Visual Servoing

Shi, L. (2017) · Electrical Control and Communication Engineering · doi:10.1515/ecce-2017-0005 · Cited by 6 · see citing works