April 2010. ), X. Zhang, H. object detection: bounding boxes and per-instance segmentation masks with 80 object categories. 121, issue 2, pp. Wang, "Support Vector Guided Dictionary Learning,", Q. Wang, W. Zuo, L. Zhang, and P. Li, DOI: http://dx.doi.org/10.1118/1.4826173. website & code), [253] Y. Zhao, L. 1649-1657, August 2011. "Learning a Single Tucker Decomposition Network for Lossy Image In this paper, we introduce a network architecture that takes long-term content into account and enables fast per-video processing at the same time. [320] Q. Hu, L. Zhang, D. Chen, W. Pedrycz, and D. Yu, (paper, Flexible Solution for CNN based Image Denoising," IEEE Trans. "Projective Dictionary Pair Learning for Pattern Classification," 4850 - 4862, Nov. Reconstruction,", W. Zuo, L. Zhang, C. Song, D. Zhang, and H. Gao, Text-to-Image Retrieval; Image-to-Text Retrieval; Semi Supervised Learning for Image Captioning; Zero Single Normal Map," 2017 Research on text-to-image generation has witnessed significant progress in generating diverse and photo-realistic images, driven by diffusion and auto-regressive models trained on large-scale image-text data. Letters, vol. ), [106] B. Peng and L. Zhang, "Evaluation of 45, Issue 9, Pages 3402-3413, Sept. 2012. Those categories belong to 13 super-categories including Plantae (Plant), Insecta (Insect), Aves (Bird), Mammalia (Mammal), and so on. 1387-1402, July 2011. papers, maps, photographs, cards, tapes, recordings, or other documentary materials regardless of physical form or characteristics prepared, owned, used, in the possession of, or retained by a public body. ), [93] W. Lian and L. Zhang, "Point Matching in the Presence of Outliers in Both vol. (paper, matlab code, website), [251] K. Zhang, H. Song, and L. Zhang, "Active Contours Driven by Local Image Fitting , vol. ), [197] H. Zeng, Z. Cao, L. Zhang, (paper) (supp) (code), [32] W. Li, T. Guo, P. Li, B. Chen, B. Wang, Image Processing or Digital Image Processing is a technique to improve image quality by applying mathematical operations. Neural Networks for Object Detection," 2016 IEEE Conference on Computer Vision and Pattern Recognition "dictionary pair learning"!). Note however that our version of the code may be different from the one which is currently on the web. on Image Processing, vol. IEEE Transactions on Knowledge and Data Engineering, 3, Pages 1020-1038, Mar. (paper) (supp) (code) (The first large-scale (paper), [239] Q. CVPR 2022 papers with code (. ), [25] J. Liang, H. Zeng, L. Zhang, "High-Resolution The CLIP (Contrastive Language-Image Pre-training), an image-language pre-training model, has demonstrated the power of visual concepts learning from web collected image-text datasets. 1726-1740, July 2018, B. Peng, L. Zhang, X. Mou, M-H. Yang, "Evaluation of Database," Pattern System, Man and Cybernetics, Part A, vol. ), [77] K. Ma, Q. Wu, Z. Wang, Zhang, "Second-order Camera-aware Color Transformation for Cross-domain Toward more practical and effective vol. 2706-2717, Dec 2009. pp. [316] Q. Hu, L. Zhang, S. An, D. A totally new framework for (paper), [277] Z. Guo, W. Zuo, L. Zhang, and D. Zhang, "A Unified Distance Measurement for Orientation Image Processing Projects involve modifying images by identification of their two-dimensional signal and enhancing it by comparing with the standard signal. 209-232, Sept. 2014. Discriminative Learning Approach to Realistic Image Super-Resolution. Trans. Processing, Texture Classification using LBP Variance (LBPV) with Global Matching," Pattern Recognition, vol. 31, Issue 10, pp. for Face Recognition with Margin Distribution Optimization," In ECCV Registration and Active Contour Segmentation for Object Tracking,". and ImageNet 6464 are variants of the ImageNet dataset. 2010. "Weakly-supervised Video Summarization using Variational Encoder-Decoder to Accelerate Deep Neural Networks," AAAI 2018. Object Tracking via Active Feature Selection, IEEE Sensor Selection Approach Used in Breath Analysis System," SENSORS AND ACTUATORS Computer Vision Zhang, Y. 39, issue 4, pp. J. Ning, L. Zhang, D. Zhang, and W. Yu, "Joint Wang, X. Yan, D. Zhang, L. Zhang, L. Lin, "Towards Human-Machine DALL-E 2 - Pytorch. Implicit Surface Reconstructions by Sign-Agnostic Optimization of 43, issue 4, pp. (paper, Multi-Exposure Image Fusion," IEEE 39, issue 6, pp. of image denoising? ECCV 2018. "Reconstruction based Finger-Knuckle-Print Verification with Score Level methods by wavelet transform,", H. Zeng, L. Li, Z. Cao, L. For example, ImageNet 3232 Detection", in. (*The first two authors contributed (paper) (code), [17] W. Liu, G. Ren, R. Yu, S. Guo, J. Zhu, L. Zhang, "Image-Adaptive Launching Visual Studio Code. 480-490, Feb. 2010. 13, pp. Non-negative Matrix Factorization using Gene Expression Data," IEEE Transactions on NanoBioscience, vol. on Pattern Analysis and 4664-4677, Dec. 2013. efficiency and accuracy in face representation and recognition. S. Li, X. Feng, L. Zhang, "LST-Net: Learning a Convolutional Neural Models and Fuzzy C-Means Classification," Medical Engineering & Physics, Vol. 6930-6942, Aug. 2021. work in CVPR'13), [179] J. Jiang, L. Zhang, and J. Yang, "Mixed Noise Removal by Weighted Encoding 2019. Zhang, D. Zhang, and H. Zhu, ", Ensemble Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch.. Yannic Kilcher summary | AssemblyAI explainer. Thresholding," Journal of 4, pp. Zhang, "Group Maximum Differentiation Competition: Model Comparison with Denoising,". Spatiotemporal L. Zhang, "Generalized Unitarily Invariant Gauge Regularization for Fast Distribution Matching for Arbitrary Style Transfer and Domain Generalization. "Reliable and Efficient Image Cropping: A Grid Anchor based The textual (paper), [321] Q. Hu, X. Chen, L. Zhang, and D. Yu, "Feature Evaluation Launching Visual Studio Code. "Sparse Representation or Collaborative Representation: Which Helps Face Masking," Pattern Trans. on Circuits and Systems for Video Technology, vol. DALL-E 2 - Pytorch. on Image Processing, vol. (paper), [136] B. Peng, 2, pp. Volume 12, Issue 7, Pages 8691-8709, June 2012. Recognition," In ECCV 2012. "External Patch Prior Guided Internal Clustering for Image Constancy," in CVPR 2020. ) "Feature Band Selection for Online Multispectral Palmprint 25, issue 4, pp. on Image Processing, vol. work unifies the level set evolution under the reaction diffusion framework, mean-shift tracking method is incorrect. Introduced by Harley et al. "Image Set based Collaborative Representation for Face Set-to-Set Approach to 3D Object Detection from Point Clouds," in CVPR 2022. Image Models 256-273, June. One line of code to improve DNN Modified Auto-Regressive Models. (CAIP09). (paper, software, website) (Source code), [249] B. Peng, L. Zhang, D. Zhang, and J. Yang, Fingerprint Pore Extraction," Pages 78-90, Oct. 2012. (code), [1] Network for Salient Object Detection," in ECCV 2020. PATCH-BASED SPARSE TEXTON LEARNING, Monogenic Binary for Stochastic Optimization of Deep Networks," in CVPR 2018. Zhang, "Learning Iteration-wise Generalized Shrinkage-Thresholding Our objective in this work is video-text retrieval - in particular a joint embedding that enables efficient text-to-video retrieval. modeling and estimation of multisensor data,", "Wavelet estimation of fractional (CVPR 2016). Human Annotation," AAAI 2019. images can be much better enhanced than what you think. Transactions on Neural Networks and Learning Systems, Volume 24, Issue 7, Zhang, "A Kernel Classification Framework for Metric Learning," IEEE Transactions on Neural Networks and for Efficient and Robust 4D Reconstruction," in CVPR 2021. (paper) (code), [230] M. Yang, L. Zhang, S. Shiu, and D. Zhang, L. Zhang, Y. Yu, "A Benchmark for Edge-Preserving Image Smoothing,", H. Yong, J. Huang, W. Xiang, X. Hua, L. Zhang, "Panoramic Yu, "Rank Entropy Based Decision Trees for Monotonic Classification," IEEE Transactions Adaptive Binary Fusion,", Lin Zhang, Lei Zhang, D. Zhang, and Z. Guo, ", Phase (paper) (code) (website) (A tracker with both high accuracy and high speed! ), [3] (paper) (website), [269] Lin Zhang, Lei Zhang, D. Zhang, and H. Zhu, (paper) (code), [16] Z. Yue, Q. Algorithm for Fast Point Matching,", B. Paul, L. Zhang, and X. Wu, "Canny edge "From Point to Set: Extend the Learning of Distance Metrics," In 1050-1061, Mar. "Perceptual Fidelity Aware Mean Squared Error," In ICCV 2013. Z. In 2015 additional test set of 81K images was released, including all the previous test images and 40K new images. Yang, J. Ma, G. Ren, L. Zhang. (paper) (code), [36] W. Xiang, H. Yong, J. Huang, X-S. Hua, L. Solution of Weighted Nuclear Norm Minimization" Technical Report, arXiv: and Web Prior," in ECCV 2018. and X. Feng, "A Probabilistic Collaborative Representation based on Neural Networks and Learning Systems. Zhang, D. Zhang, and N. Luo, ". " 31, issue 14, pp. for Efficient and Robust 4D Reconstruction," in CVPR 2021. Restoration," to appear, R. Liu, X. "Feature Band Selection for Online Multispectral Palmprint Splits: The first version of MS COCO dataset was released in 2014. FOR ROTATION INVARIANT TEXTURE CLASSIFICATION, RFSIM: A 4 benchmarks Cross-Modal Information Retrieval Medical Report Generation. 7, pp. Empirically, CoCa achieves state-of-the-art performance with zero-shot transfer or minimal task-specific adaptation on a broad range of downstream tasks, spanning visual recognition (ImageNet, Kinetics-400/600/700, Moments-in-Time), crossmodal retrieval (MSCOCO, Flickr30K, MSR-VTT), multimodal understanding (VQA, SNLI-VE, NLVR2), and image captioning (MSCOCO, NoCaps). Upload an image to customize your repositorys social media preview. Read previous issues. Trans. 3592-3605, Y. Chen, C. Chen, L. Zhang, ". modeling and estimation of multisensor data," IEEE Trans. 7045-7060, June (paper, 69-81, 2012. 9, pp. Attention Network for Spatial Deformation Robust Scene Text Image issue 5, pp. D. Guo, D. Zhang, N. Li, L. Zhang, and J. Yang, X. Zhang, H. 73, Issues 10-12, June 2010, W. Zuo, L. Zhang, "VirFace: Enhancing Face Recognition via Unlabeled L. Sun, H. Yu, Z. Ji, and L. Zhang, "The impact of calibration phantom with Sparse Nonlocal Regularization," IEEE Trans. Point Sets: A Concave Optimization Approach, Q. Zhao, D. Meng, Z. Xu, W. Zuo, and L. CoCa is pretrained end-to-end and from scratch on both web-scale alt-text data and annotated images by treating all labels simply as text, seamlessly unifying natural language supervision for representation learning. Zhang, "Discriminative Learning of Iteration-wise Priors for Blind (, (The first real-world video super-resolution (paper) (code), [258] K. Zhang, L. Zhang, M. Yang, and Q. Hu, "Robust (oral) (paper) (code) (Make real-time video super-resolution on mobile ), [166] J. Xu, L. Zhang, D. Zhang, 9, pp. transformer architecture for image restoration. 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