Computer Vision – ECCV 2024

HyperSpaceX: Radial and Angular Exploration of HyperSpherical Dimensions.- InstructGIE: Towards Generalizable Image Editing.- HandDAGT: A Denoising Adaptive Graph Transformer for 3D Hand Pose Estimation.- Navigating Text-to-Image Generative Bias across Indic Languages.- Correspondence-Free SE(3) Point Cloud Registration in RKHS via Unsupervised Equivariant Learning.- CTRLorALTer: Conditional LoRAdapter for Efficient 0-Shot Control & Altering of T2I Models.- Nickel and Diming Your GAN: A Dual-Method Approach to Enhancing GAN Efficiency via Knowledge Distillation.- VividDreamer: Invariant Score Distillation for Hyper-Realistic Text-to-3D Generation.- A Framework for Efficient Model Evaluation through Stratification, Sampling, and Estimation.- Towards Scene Graph Anticipation.- Non-Line-of-Sight Estimation of Fast Human Motion with Slow Scanning Imagers.- Distributed Semantic Segmentation with Efficient Joint Source and Task Decoding.- NePhi: Neural Deformation Fields for Approximately Diffeomorphic Medical Image Registration.- Aligning Neuronal Coding of Dynamic Visual Scenes with Foundation Vision Models.- Image Manipulation Detection With Implicit Neural Representation and Limited Supervision.- Scalar Function Topology Divergence: Comparing Topology of 3D Objects.- Introducing Routing Functions to Vision-Language Parameter-Efficient Fine-Tuning with Low-Rank Bottlenecks.- Concept Arithmetics for Circumventing Concept Inhibition in Diffusion Models.- DeTra: A Unified Model for Object Detection and Trajectory Forecasting.- ControlNet-XS: Rethinking the Control of Text-to-Image Diffusion Models as Feedback-Control Systems.- Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction.- Common Sense Reasoning for Deep Fake Detection.- Let the Avatar Talk using Texts without Paired Training Data.- NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields.- GOEmbed: Gradient Origin Embeddings for Representation Agnostic 3D Feature Learning.- Causal Subgraphs and Information Bottlenecks: Redefining OOD Robustness in Graph Neural Networks.- AddBiomechanics Dataset: Capturing the Physics of Human Motion at Scale.