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Showing 7451–7475 of 10696 papers

TitleStatusHype
Differentiable Mathematical Programming for Object-Centric Representation Learning—0
Learning Explicit Object-Centric Representations with Vision Transformers—0
Predicting Physical Object Properties from Video—0
Control of the Final-Phase of Closed-Loop Visual Grasping using Image-Based Visual Servoing—0
Learning Explicit Contact for Implicit Reconstruction of Hand-held Objects from Monocular Images—0
Difference-in-Differences: Bridging Normalization and Disentanglement in PG-GAN—0
Learning Environment-Aware Affordance for 3D Articulated Object Manipulation under Occlusions—0
Learning Endogenous Attention for Incremental Object Detection—0
Diff-DOPE: Differentiable Deep Object Pose Estimation—0
An automatic and efficient foreground object extraction scheme—0
Active Control of Camera Parameters for Object Detection Algorithms—0
Predictive Object-Centric Process Monitoring—0
DiffAugment: Diffusion based Long-Tailed Visual Relationship Recognition—0
Learning Efficient Object Detection Models with Knowledge Distillation—0
Preemptive Motion Planning for Human-to-Robot Indirect Placement Handovers—0
Bounding Box Embedding for Single Shot Person Instance Segmentation—0
Learning Effective NeRFs and SDFs Representations with 3D Generative Adversarial Networks for 3D Object Generation: Technical Report for ICCV 2023 OmniObject3D Challenge—0
Pretraining over Interactions for Learning Grounded Object Representations—0
Preventing Object-centric Discovery of Unsound Process Models for Object Interactions with Loops in Collaborative Systems: Extended Version—0
PrimA6D: Rotational Primitive Reconstruction for Enhanced and Robust 6D Pose Estimation—0
Learning Dynamic Siamese Network for Visual Object Tracking—0
Primary Object Segmentation in Videos via Alternate Convex Optimization of Foreground and Background Distributions—0
Diff3DETR:Agent-based Diffusion Model for Semi-supervised 3D Object Detection—0
Prime Sample Attention in Object Detection—0
Learning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement Learning—0
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