VOCA is a causal stereo visual odometry system that achieves state-of-the-art performance on compressed streams by exploiting codec awareness.
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5 Pith papers cite this work, alongside 6,009 external citations. Polarity classification is still indexing.
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InFlux++ introduces a synthetic training dataset and an extended real-world benchmark for per-frame camera intrinsics estimation, showing that finetuning on synthetic data improves focal length prediction.
Pocket-SLAM introduces rendering-area-aware pruning for 3DGS-SLAM, claiming over 60% memory reduction and 2x FPS gain on EuRoC and KITTI while keeping localization and mapping accuracy.
Compute and motion are tightly intertwined in MAVs, requiring cyber-physical co-design for optimal mission metrics, as shown via analytical models, simulation, end-to-end benchmarking, and the open-sourced MAVBench tool suite.
Presents a distributed ROS 2 framework integrating local LLMs and VLMs for conversational human-robot manipulation tasks with operator confirmation and experimental evaluation on a Franka FR3 arm.
citing papers explorer
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VOCA: Visual Odometry with Codec Awareness
VOCA is a causal stereo visual odometry system that achieves state-of-the-art performance on compressed streams by exploiting codec awareness.
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InFlux++: Real and Synthetic Data for Estimating Dynamic Camera Intrinsics
InFlux++ introduces a synthetic training dataset and an extended real-world benchmark for per-frame camera intrinsics estimation, showing that finetuning on synthetic data improves focal length prediction.
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Pocket-SLAM: Rendering-Area-Aware Pruning for Memory-Efficient 3DGS-SLAM
Pocket-SLAM introduces rendering-area-aware pruning for 3DGS-SLAM, claiming over 60% memory reduction and 2x FPS gain on EuRoC and KITTI while keeping localization and mapping accuracy.
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The Role of Compute in Autonomous Aerial Vehicles
Compute and motion are tightly intertwined in MAVs, requiring cyber-physical co-design for optimal mission metrics, as shown via analytical models, simulation, end-to-end benchmarking, and the open-sourced MAVBench tool suite.
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A Conversational Framework for Human-Robot Collaborative Manipulation with Distributed Generative AI models
Presents a distributed ROS 2 framework integrating local LLMs and VLMs for conversational human-robot manipulation tasks with operator confirmation and experimental evaluation on a Franka FR3 arm.