4 citations · 4 across the 11 of their papers we have counts for
20 papers
Rethinking the Encoding and Annotating of 3D Bounding Box: Corner-Aware 3D Object Detection from Point Clouds
Qinghao Meng, Junbo Yin, Jianbing Shen +1
Center-aligned regression remains dominant in LiDAR-based 3D object detection, yet it suffers from fundamental instability: object centers often fall in sparse or empty regions of…
Composition-Incremental Learning for Compositional Generalization
Zhen Li, Yuwei Wu, Chenchen Jing +3
Compositional generalization has achieved substantial progress in computer vision on pre-collected training data. Nonetheless, real-world data continually emerges, with possible co…
Multi-Step Reasoning for Embodied Question Answering via Tool Augmentation
Mingliang Zhai, Hansheng Liang, Xiaomeng Fan +6
Embodied Question Answering (EQA) requires agents to explore 3D environments to obtain observations and answer questions related to the scene. Existing methods leverage VLMs to dir…
Beyond the Seen: Bounded Distribution Estimation for Open-Vocabulary Learning
Xiaomeng Fan, Yuchuan Mao, Zhi Gao +3
Open-vocabulary learning requires modeling the data distribution in open environments, which consists of both seen-class and unseen-class data. Existing methods estimate the distri…
Efficient Multi-turn RL for GUI Agents via Decoupled Training and Adaptive Data Curation
Pengxiang Li, Zechen Hu, Zirui Shang +15
Vision-language model (VLM) based GUI agents show promise for automating complex desktop and mobile tasks, but face significant challenges in applying reinforcement learning (RL):…
Adaptive Model Ensemble for Continual Learning
Yuchuan Mao, Zhi Gao, Xiaomeng Fan +3
Model ensemble is an effective strategy in continual learning, which alleviates catastrophic forgetting by interpolating model parameters, achieving knowledge fusion learned from d…