整理:AI算法与图像处理
CVPR2022论文和代码整理:https://github.com/DWCTOD/CVPR2022-Papers-with-Code-Demo
ECCV2022论文和代码整理:https://github.com/DWCTOD/ECCV2022-Papers-with-Code-Demo
主页:http://vclab.kaist.ac.kr/siggraph2022p1/index.html 代码:https://github.com/KAIST-VCLAB/SparseEllipsometry
摘要:
提出了稀疏椭偏法,这是一种便携式偏振采集方法,可捕获极化 SVBRDF 和 3D 形状同时进行。我们的手持设备由现成的固定光学元件组成。每个对象的总采集时间不是几天,而是二十到三十分钟。我们开发了一个完整的偏振 SVBRDF 模型,包括漫反射和镜面反射分量,以及单次散射,并设计了一种新的偏振逆渲染算法,通过生成建模对镜面反射样本进行数据增强。我们的结果与最近捕获的真实世界对象的极化 BRDF 的grouth truth 数据集非常一致。
Camera Pose Auto-Encoders for Improving Pose Regression
Tracking Objects as Pixel-wise Distributions
Compound Prototype Matching for Few-shot Action Recognition
Category-Level 6D Object Pose and Size Estimation using Self-Supervised Deep Prior Deformation Networks
Synergistic Self-supervised and Quantization Learning
UniNet: Unified Architecture Search with Convolution, Transformer, and MLP
Knowledge Condensation Distillation
Frequency Domain Model Augmentation for Adversarial Attack
HEAD: HEtero-Assists Distillation for Heterogeneous Object Detectors
Video Graph Transformer for Video Question Answering
CPO: Change Robust Panorama to Point Cloud Localization
Contrastive Deep Supervision
Towards Hard-Positive Query Mining for DETR-based Human-Object Interaction Detection
PseudoClick: Interactive Image Segmentation with Click Imitation
Hunting Group Clues with Transformers for Social Group Activity Recognition
1st Place Solution to the EPIC-Kitchens Action Anticipation Challenge 2022
Tell Me the Evidence? Dual Visual-Linguistic Interaction for Answer Grounding
Scaling Novel Object Detection with Weakly Supervised Detection Transformers