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

2 Table of Contents: “... Spatial-BCE Loss for Weakly Supervised Semantic Segmentation -- Dense Gaussian Processes for Few-Shot...”

3 Table of Contents: “... Query-Guided Debiasing for Video Corpus Moment Retrieval -- Spatial and Visual Perspective-Taking via...”

4 Table of Contents: “... -- SpatialDETR: Robust Scalable Transformer-Based 3D Object Detection from Multi-View Camera Images with Global...”

5 Table of Contents: “... Sequence to Sequence Translation -- Efficient Video Transformers with Spatial-Temporal Token Selection...”

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

7 Table of Contents: “... Transformer for Fast Image Deblurring -- Deep Fourier-Based Exposure Correction Network with Spatial-Frequency...”

8 Table of Contents: “...StretchBEV: Stretching Future Instance Prediction Spatially and Temporally -- RCLane: Relay Chain...”

9 Table of Contents: “... from Natural Language -- DProST: Dynamic Projective Spatial Transformer Network for 6D Pose Estimation...”

10 Table of Contents: “...Learning Spatiotemporal Frequency-Transformer for Compressed Video Super-Resolution -- Spatial...”

11 Table of Contents: “... Consistency -- PTSEFormer: Progressive Temporal-Spatial Enhanced TransFormer towards Video Object Detection...”

12 Table of Contents: “... Supervised Object Localization via Transformer with Implicit Spatial Calibration -- MTTrans: Cross-Domain...”

13 Table of Contents: “...P-STMO: Pre-trained Spatial Temporal Many-to-One Model for 3D Human Pose Estimation -- D&D...”

14 Table of Contents: “...-agent Trajectory Prediction -- Diverse Human Motion Prediction Guided by Multi-level Spatial- Temporal...”

15 Table of Contents: “... -- Towards Regression-Free Neural Networks for Diverse Compute Platforms -- Relationship Spatialization...”

16 Table of Contents: “... Estimation -- Estimating Spatially-Varying Lighting in Urban Scenes with Disentangled Representation...”

17 Table of Contents: “... Evaluation -- Exploring Gradient-Based Multi-directional Controls in GANs -- Spatially Invariant Unsupervised...”

18 “...Computer vision is the science and technology of making machines that see. It is concerned...”

19 “...Computer vision is the science and technology of making machines that see. It is concerned...”

20 “...Computer vision is the science and technology of making machines that see. It is concerned...”