3 citations · 7 across the 7 of their papers we have counts for
6 papers · 1 filter
Towards Realistic Earth-Observation Constellation Scheduling: Benchmark and Methodology
Luting Wang, Yinghao Xiang, Hongliang Huang +3
Agile Earth Observation Satellites (AEOSs) constellations offer unprecedented flexibility for monitoring the Earth's surface, but their scheduling remains challenging under large-s…
Image Understanding Makes for A Good Tokenizer for Image Generation
Luting Wang, Yang Zhao, Zijian Zhang +3
Abstract Modern image generation (IG) models have been shown to capture rich semantics valuable for image understanding (IU) tasks. However, the potential of IU models to improve I…
Knowledge Distillation via Query Selection for Detection Transformer
Yi Liu, Luting Wang, Zongheng Tang +4
Transformers have revolutionized the object detection landscape by introducing DETRs, acclaimed for their simplicity and efficacy. Despite their advantages, the substantial size of…
LaMI-DETR: Open-Vocabulary Detection with Language Model Instruction
Penghui Du, Yu Wang, Yifan Sun +7
Existing methods enhance open-vocabulary object detection by leveraging the robust open-vocabulary recognition capabilities of Vision-Language Models (VLMs), such as CLIP.However,…
Object-Aware Distillation Pyramid for Open-Vocabulary Object Detection
Luting Wang, Yi Liu, Penghui Du +5
Open-vocabulary object detection aims to provide object detectors trained on a fixed set of object categories with the generalizability to detect objects described by arbitrary tex…
HEAD: HEtero-Assists Distillation for Heterogeneous Object Detectors
Luting Wang, Xiaojie Li, Yue Liao +5
Conventional knowledge distillation (KD) methods for object detection mainly concentrate on homogeneous teacher-student detectors. However, the design of a lightweight detector for…