# 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/2022-ieee-cvf-conference-on-computer-vision-and-pattern-recognition-cvpr/

## Facts

| Field | Value |
| --- | --- |
| Open Access | false |
| OpenAlex ID | https://openalex.org/S4363607701 |

## Journal papers

- [Anomaly Detection via Reverse Distillation from One-Class Embedding](https://scholariq.org/papers/anomaly-detection-via-reverse-distillation-from-one-class-embedding/)
- [Generating Diverse and Natural 3D Human Motions from Text](https://scholariq.org/papers/generating-diverse-and-natural-3d-human-motions-from-text/)
- [PCL: Proxy-based Contrastive Learning for Domain Generalization](https://scholariq.org/papers/pcl-proxy-based-contrastive-learning-for-domain-generalization/)
- [FERV39k: A Large-Scale Multi-Scene Dataset for Facial Expression Recognition in Videos](https://scholariq.org/papers/ferv39k-a-large-scale-multi-scene-dataset-for-facial-expression-recognition-in/)
- [No-Reference Point Cloud Quality Assessment via Domain Adaptation](https://scholariq.org/papers/no-reference-point-cloud-quality-assessment-via-domain-adaptation/)
- [LaTr: Layout-Aware Transformer for Scene-Text VQA](https://scholariq.org/papers/latr-layout-aware-transformer-for-scene-text-vqa/)
- [X -Trans2Cap: Cross-Modal Knowledge Transfer using Transformer for 3D Dense Captioning](https://scholariq.org/papers/x-trans2cap-cross-modal-knowledge-transfer-using-transformer-for-3d-dense/)
- [Learning Optical Flow with Kernel Patch Attention](https://scholariq.org/papers/learning-optical-flow-with-kernel-patch-attention/)
- [Unsupervised Action Segmentation by Joint Representation Learning and Online Clustering](https://scholariq.org/papers/unsupervised-action-segmentation-by-joint-representation-learning-and-online/)
- [Cross-modal Clinical Graph Transformer for Ophthalmic Report Generation](https://scholariq.org/papers/cross-modal-clinical-graph-transformer-for-ophthalmic-report-generation/)
- [Surpassing the Human Accuracy: Detecting Gallbladder Cancer from USG Images with Curriculum Learning](https://scholariq.org/papers/surpassing-the-human-accuracy-detecting-gallbladder-cancer-from-usg-images-with/)
- [A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration](https://scholariq.org/papers/a-stitch-in-time-saves-nine-a-train-time-regularizing-loss-for-improved-neural/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.