Papers
HDPNet: Hourglass Vision Transformer with Dual-Path Feature Pyramid for Camouflaged Object Detection
Jinpeng He, Biyuan Liu, Huaixin Chen
HeightLane: BEV Heightmap Guided 3D Lane Detection
Chaesong Park, Eunbin Seo, Jongwoo Lim
HeightMapNet: Explicit Height Modeling for End-to-End HD Map Learning
Wenzhao Qiu, Shanmin Pang, Hao Zhang et al.
Heterogeneous Datasets for Unsupervised Image Anomaly Detection
Juan Lagos, Haider Ali, Adnan Faroque et al.
HexaGen3D: StableDiffusion is One Step Away from Fast and Diverse Text-to-3D Generation
Antoine Mercier, Ramin Nakhli, Mahesh Reddy et al.
HEX: Hierarchical Emergence Exploitation in Self-Supervised Algorithms
Kiran Kokilepersaud, Seulgi Kim, Mohit Prabhushankar et al.
Hierarchical Light Transformer Ensembles for Multimodal Trajectory Forecasting
Adrien Lafage, Mathieu Barbier, Gianni Franchi et al.
High-Fidelity Document Stain Removal via A Large-Scale Real-World Dataset and A Memory-Augmented Transformer
Mingxian Li, Hao Sun, Yingtie Lei et al.
High-Pass Kernel Prediction for Efficient Video Deblurring
Bo Ji, Angela Yao
Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks
Zijiao Yang, Xiangxi Shi, Eric Slyman et al.
HOPE: A Memory-Based and Composition-Aware Framework for Zero-Shot Learning with Hopfield Network and Soft Mixture of Experts
Do Huu Dat, Po-Yuan Mao, Tien Hoang Nguyen et al.
HSDA: High-Frequency Shuffle Data Augmentation for Bird's-Eye-View Map Segmentation
Calvin Glisson, Qiuxiao Chen
HybridDepth: Robust Metric Depth Fusion by Leveraging Depth from Focus and Single-Image Priors
Ashkan Ganj, Hang Su, Tian Guo
Hyperdimensional Representation for Adaptive Information Association and Memorization
Zhuowen Zou, Prathyush Poduval, Narayan Srinivasa et al.
I3D-AE-LSTM: A 2-Stream Autoencoder for Action Quality Assessment using a Newly Created Cricket Batsman Video Dataset
Tevin Moodley, Dustin Terence van der Haar
Identify Backdoored Model in Federated Learning via Individual Unlearning
Jiahao Xu, Zikai Zhang, Rui Hu
Identity Curvature Laplace Approximation for Improved Out-of-Distribution Detection
Maksim Zhdanov, Stanislav Dereka, Sergey Kolesnikov
I Dream My Painting: Connecting MLLMs and Diffusion Models via Prompt Generation for Text-Guided Multi-Mask Inpainting
Nicola Fanelli, Gennaro Vessio, Giovanna Castellano
Image Adaptation for Colour Vision Deficient Viewers using Vision Transformers
Thomas Gillooly, Jean-Baptiste Thomas, Jon Y. Hardeberg et al.
Image-Caption Encoding for Improving Zero-Shot Generalization
Eric Yu, Christopher Liao, Sathvik Ravi et al.
Image-Level Regression for Uncertainty-Aware Retinal Image Segmentation
Trung D. Q. Dang, Huy Hoang Nguyen, Aleksei Tiulpin
Importance-Guided Interpretability and Pruning for Video Transformers in Driver Action Recognition
Raquel Panadero Palenzuela, Dominik Schörkhuber, Margrit Gelautz
Improving Accuracy and Generalization for Efficient Visual Tracking
Ram Zaveri, Shivang Patel, Yu Gu et al.
Improving Conditional Diffusion Models through Re-Noising from Unconditional Diffusion Priors
Kangfu Mei, Nithin Gopalakrishnan Nair, Vishal Patel
Improving Deep Detector Robustness via Detection-Related Discriminant Maximization and Reorganization
Jung Im Choi, Qizhen Lan, Qing Tian