Computer Vision

SC3K: Self-supervised and Coherent 3D Keypoints Estimation from Rotated, Noisy, and Decimated Point Cloud Data ICCV 2023 SCADE: NeRFs from Space Carving With Ambiguity-Aware Depth Estimates CVPR 2023 Scalable 3D Captioning with Pretrained Models NeurIPS 2023 Scalable Adaptive Computation for Iterative Generation ICML 2023 Scalable and Equivariant Spherical CNNs by Discrete-Continuous (DISCO) Convolutions ICLR 2023 Scalable, Detailed and Mask-Free Universal Photometric Stereo CVPR 2023 Scalable Diffusion Models with Transformers ICCV 2023 ScalableMap: Scalable Map Learning for Online Long-Range Vectorized HD Map Construction CoRL 2023 Scalable Spatial Memory for Scene Rendering and Navigation AAAI 2023 Scalable Theory-Driven Regularization of Scene Graph Generation Models AAAI 2023 Scalable Video Object Segmentation with Simplified Framework ICCV 2023 Scale-Aware Modulation Meet Transformer ICCV 2023 ScaleDet: A Scalable Multi-Dataset Object Detector CVPR 2023 ScaleKD: Distilling Scale-Aware Knowledge in Small Object Detector CVPR 2023 Scale-Space Hypernetworks for Efficient Biomedical Image Analysis NeurIPS 2023 Scaling Novel Object Detection With Weakly Supervised Detection Transformers WACV 2023 Scaling Open-Vocabulary Object Detection NeurIPS 2023 Scaling Up GANs for Text-to-Image Synthesis CVPR 2023 Scaling Vision-Language Models with Sparse Mixture of Experts EMNLP 2023 ScanDMM: A Deep Markov Model of Scanpath Prediction for 360deg Images CVPR 2023 SCANet: Scene Complexity Aware Network for Weakly-Supervised Video Moment Retrieval ICCV 2023 ScanNeRF: A Scalable Benchmark for Neural Radiance Fields WACV 2023 ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes ICCV 2023 Scanning Only Once: An End-to-end Framework for Fast Temporal Grounding in Long Videos ICCV 2023 ScarceNet: Animal Pose Estimation With Scarce Annotations CVPR 2023