6 accepted papers
We introduce Robowheel, a data engine that converts human hand-object interaction (HOI) videos into training-ready supervision for cross-morphology robotic learning. From monocular RGB/RGB-D inputs, we perform high-precision HOI reconstruction and enforce physical plausibility via a reinforcement le
In this paper, we present a novel framework designed to reconstruct long-sequence 3D human motion in the world coordinates from in-the-wild videos with multiple shot transitions. Such long-sequence in-the-wild motions are highly valuable to applications such as motion generation and motion understan…
Recent works on reconstructing HDR videos in display format (HDRTV) suffer from high computational and memory requirements because they learn the SDRTV-to-HDRTV mapping directly in 4K resolution. This paper proposes an efficient SDRTV-to-HDRTV model (HDRTVFormer) that decomposes the HDRTV restoratio…
Image enhancement algorithms have made great progress recently. However, most existing methods tend to construct a uniform enhancer for the color transformation of all pixels and ignore the local context information which is significant for photographs, causing unsatisfactory results. To solve these…
Motion planning (MP) is essential but challenging for mobile robots. Most of the existing MP methods, at each instant, compute an action based on the states of the robot and the surrounding obstacles, assuming that the robot's localization module is attack-free. Unfortunately, the localization modul
Few-shot knowledge graph completion (FKGC) aims to infer unknown fact triples of a relation using its few-shot reference entity pairs. Recent FKGC studies focus on learning semantic representations of entity pairs by separately encoding the neighborhoods of head and tail entities. Such practice, how…