LEADER 02029nam a2200361 i 4500 001 991003070229707536 005 20021122115154.0 008 020220s1997 de ||| | eng 020 $a3540636188$c108200 035 $ab11750388-39ule_inst 035 $aLE00646076$9ExL 040 $aDip.to Fisica$bita 082 0 $a53.3.11 082 0 $a530.14'3 082 0 $aQC174.45 111 2 $aEötvös Graduate course on conformal field theories and integrable models < 1996 ; Budapest, Hungary >$0530298 245 10$aConformal field theories and integrable models :$blectures held at the Eötvös Graduate course, Budapest, Hungary 13-18 August 1996 /$cZalán Horváth, László Palla (eds.) 260 $aBerlin ; New York :$bSpringer,$cc1997 300 $ax, 250 p. :$bill. ;$c24 cm. 490 0 $aLecture notes in physics / edited by J. Ehlers...[et al.] ;$v498 500 $aIncludes bibliographical references and index. 500 $aLectures on conformal field theory and Kac-Moody algebras / Jürgen Fuchs -- W-algebras and their representations / Gerard M.T. Watts -- Exact s-matrices / Patrick Dorey -- Introduction to simple integrable models of quantum field theory / Harald Grosse, Edwin Langmann and Ernst Raschhofer -- Introduction to coordinate-space Bethe ansatz / Ferenc Woynarovich -- Thermodynamical Bethe ansatz and condensed matter / Minoru Takahashi. 650 4$aIntegral equations 650 4$aMathematical physics 650 4$aQuantum field theory-Mathematical models 700 1 $aHorváth, Zalan$eauthor$4http://id.loc.gov/vocabulary/relators/aut$0352201 700 1 $aPalla, Laszlň$eauthor$4http://id.loc.gov/vocabulary/relators/aut$052409 907 $a.b11750388$b27-04-17$c22-11-02 912 $a991003070229707536 945 $aLE006 53.3.11 HOR$g1$i2006000085069$lle006$o-$pE0.00$q-$rl$s- $t0$u1$v0$w1$x0$y.i11992943$z22-11-02 996 $aConformal field theories and integrable models$91746754 997 $aUNISALENTO 998 $ale006$b01-01-02$cm$da $e-$feng$gde $h0$i1 LEADER 07038nam 22007575 450 001 9910483955803321 005 20260317155337.0 010 $a3-030-69544-1 024 7 $a10.1007/978-3-030-69544-6 035 $a(CKB)4100000011781459 035 $a(MiAaPQ)EBC6501064 035 $a(DE-He213)978-3-030-69544-6 035 $a(PPN)253858763 035 $a(EXLCZ)994100000011781459 100 $a20210225d2021 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputer Vision ? ACCV 2020 $e15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 ? December 4, 2020, Revised Selected Papers, Part VI /$fedited by Hiroshi Ishikawa, Cheng-Lin Liu, Tomas Pajdla, Jianbo Shi 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (XVIII, 705 p. 262 illus., 252 illus. in color.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v12627 311 08$a3-030-69543-3 327 $aApplications of Computer Vision, Vision for X -- Query by Strings and Return Ranking Word Regions with Only One Look -- Single-Image Camera Response Function Using Prediction Consistency and Gradual Refinement -- FootNet: An efficient convolutional network for multiview 3D foot reconstruction -- Synthetic-to-real domain adaptation for lane detection -- RAF-AU Database: In-the-Wild Facial Expressions with Subjective Emotion Judgement and Objective AU Annotations -- DoFNet: Depth of Field Difference Learning for Detecting Image Forgery -- Explaining image classifiers by removing input features using generative models -- Do We Need Sound for Sound Source Localization? -- Modular Graph Attention Network for Complex Visual Relational Reasoning -- CloTH-VTON: Clothing Three-dimensional reconstruction for Hybrid image-based Virtual Try-ON -- Multi-label X-ray Imagery Classification via Bottom-up Attention and Meta Fusion -- Learning End-to-End Action Interaction by Paired-Embedding Data Augmentation -- Sketch-to-Art: Synthesizing Stylized Art Images From Sketches -- Road Obstacle Detection Method Based on an Autoencoder with Semantic Segmentation -- SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection -- Trainable Structure Tensors for Autonomous Baggage Threat Detection Under Extreme Occlusion -- Audiovisual Transformer with Instance Attention for Audio-Visual Event Localization -- Watch, read and lookup: learning to spot signs from multiple supervisors -- Domain-transferred Face Augmentation Network -- Pose Correction Algorithm for Relative Frames between Keyframes in SLAM -- Dense-Scale Feature Learning in Person Re-Identification -- Class-incremental Learning with Rectified Feature-Graph Preservation -- Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation -- Towards Robust Fine-grained Recognition by Maximal Separation of Discriminative Features -- Visually Guided Sound Source Separation using Cascaded Opponent Filter Network -- Channel Recurrent Attention Networks for Video Pedestrian Retrieval -- In Defense of LSTMs for Addressing Multiple Instance Learning Problems -- Addressing Class Imbalance in Scene Graph Parsing by Learning to Contrast and Score -- Show, Conceive and Tell: Image Captioning with Prospective Linguistic Information -- Datasets and Performance Analysis -- RGB-T Crowd Counting from Drone: A Benchmark and MMCCN Network -- Webly Supervised Semantic Embeddings for Large Scale Zero-Shot Learning -- Compensating for the Lack of Extra Training Data by Learning Extra Representation -- Class-Wise Difficulty-Balanced Loss for Solving Class-Imbalance -- OpenTraj: Assessing Prediction Complexity in Human Trajectories Datasets -- Pre-training without Natural Images -- TTPLA: An Aerial-Image Dataset for Detection and Segmentation of Transmission Towers and Power Lines -- A Day on Campus - An Anomaly Detection Dataset for Events in a Single Camera -- A Benchmark and Baseline for Language-Driven Image Editing -- Self-supervised Learning of Orc-Bert Augmentator for Recognizing Few-Shot Oracle Characters -- Understanding Motion in Sign Language: A New Structured Translation Dataset -- FreezeNet: Full Performance by Reduced Storage Costs. 330 $aThe six volume set of LNCS 12622-12627 constitutes the proceedings of the 15th Asian Conference on Computer Vision, ACCV 2020, held in Kyoto, Japan, in November/ December 2020.* The total of 254 contributions was carefully reviewed and selected from 768 submissions during two rounds of reviewing and improvement. The papers focus on the following topics: Part I: 3D computer vision; segmentation and grouping Part II: low-level vision, image processing; motion and tracking Part III: recognition and detection; optimization, statistical methods, and learning; robot vision Part IV: deep learning for computer vision, generative models for computer vision Part V: face, pose, action, and gesture; video analysis and event recognition; biomedical image analysis Part VI: applications of computer vision; vision for X; datasets and performance analysis *The conference was held virtually. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v12627 606 $aComputer vision 606 $aComputer engineering 606 $aComputer networks 606 $aArtificial intelligence 606 $aPattern recognition systems 606 $aApplication software 606 $aComputer Vision 606 $aComputer Engineering and Networks 606 $aArtificial Intelligence 606 $aAutomated Pattern Recognition 606 $aComputer and Information Systems Applications 606 $aVisió per ordinador$2thub 606 $aReconeixement de formes (Informŕtica)$2thub 608 $aCongressos$2thub 608 $aLlibres electrňnics$2thub 615 0$aComputer vision. 615 0$aComputer engineering. 615 0$aComputer networks. 615 0$aArtificial intelligence. 615 0$aPattern recognition systems. 615 0$aApplication software. 615 14$aComputer Vision. 615 24$aComputer Engineering and Networks. 615 24$aArtificial Intelligence. 615 24$aAutomated Pattern Recognition. 615 24$aComputer and Information Systems Applications. 615 7$aVisió per ordinador 615 7$aReconeixement de formes (Informŕtica) 676 $a006.37 702 $aIshikawa$b Hiroshi$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLiu$b Cheng-Lin$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPajdla$b Toma?s?$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aShi$b Jianbo$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910483955803321 996 $aComputer vision-ACCV 2020$91890247 997 $aUNINA