1 Table of Contents: “...Throwing Down the Visual Intelligence Gauntlet -- Actionable Information in Vision -- Learning...”

2 Table of Contents: “...Learning with discrete least squares on multivariate polynomial spaces using evaluations at random...”

3 Table of Contents: “...Mixed-Precision Neural Network Quantization via Learned Layer-Wise Importance -- Event Neural...”

4 Subjects: “...Machine learning...”

5 Table of Contents: “... Attention for Audio-Visual Zero-Shot Learning -- HM: Hybrid Masking for Few-Shot Segmentation -- TransVLAD...”

6 Table of Contents: “... for Approximate Nearest Neighbor Search -- SEMICON: A Learning-to-Hash Solution for Large-Scale Fine-Grained Image...”

7 Table of Contents: “... -- Fast-Vid2Vid: Spatial-Temporal Compression for Video-to-Video Synthesis -- Learning Prior Feature...”

8 Table of Contents: “...JPEG Artifacts Removal viaContrastive Representation Learning -- Unpaired Deep Image Dehazing Using...”

9 Table of Contents: “...Learning Implicit Feature Alignment Function for Semantic Segmentation -- Quantum Motion...”

10 Table of Contents: “...TALISMAN: Targeted Active Learning for Object Detection with Rare Classes and Slices Using...”

11 Table of Contents: “... Representation Learning -- Target-Absent Human Attention -- Uncertainty-Based Spatial-Temporal Attention...”

12 Table of Contents: “... Generation on Megapixels -- Video Extrapolation in Space and Time -- Contrastive Learning for Diverse...”

13 Subjects: “...Machine learning...”

14 Table of Contents: “...-Supervised Monocular Depth Learning via Density Volume Construction -- Action-Based Contrastive Learning...”

15 Table of Contents: “...Learning Dynamic Facial Radiance Fields for Few-Shot Talking Head Synthesis -- CoupleFace: Relation...”

16 Table of Contents: “... Learning without Any 3D Cues...”

17 Table of Contents: “... for Image Compression -- LiP-Flow: Learning Inference-Time Priors for Codec Avatars via Normalizing Flows...”

18 Table of Contents: “...Learn2Augment: Learning to Composite Videos for Data Augmentation in Action Recognition -- CYBORGS...”

19 Table of Contents: “...Augmenting Deep Classifiers with Polynomial Neural Networks -- Learning with Noisy Labels...”

20 Table of Contents: “... -- Controllable Shadow Generation Using Pixel Height Maps -- Learning Where to Look – Generative NAS...”