Search Results for author: Bohao Peng

Found 8 papers, 6 papers with code

Scalable Language Model with Generalized Continual Learning

1 code implementation11 Apr 2024 Bohao Peng, Zhuotao Tian, Shu Liu, MingChang Yang, Jiaya Jia

In this study, we introduce the Scalable Language Model (SLM) to overcome these limitations within a more challenging and generalized setting, representing a significant advancement toward practical applications for continual learning.

Continual Learning Language Modelling +1

OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation

1 code implementation CVPR 2024 Bohao Peng, Xiaoyang Wu, Li Jiang, Yukang Chen, Hengshuang Zhao, Zhuotao Tian, Jiaya Jia

This exploration led to the creation of Omni-Adaptive 3D CNNs (OA-CNNs), a family of networks that integrates a lightweight module to greatly enhance the adaptivity of sparse CNNs at minimal computational cost.

Ranked #5 on 3D Semantic Segmentation on SemanticKITTI (val mIoU metric)

3D Semantic Segmentation LIDAR Semantic Segmentation

LISA++: An Improved Baseline for Reasoning Segmentation with Large Language Model

no code implementations28 Dec 2023 Senqiao Yang, Tianyuan Qu, Xin Lai, Zhuotao Tian, Bohao Peng, Shu Liu, Jiaya Jia

While LISA effectively bridges the gap between segmentation and large language models to enable reasoning segmentation, it poses certain limitations: unable to distinguish different instances of the target region, and constrained by the pre-defined textual response formats.

Instance Segmentation Language Modelling +3

Prompt Highlighter: Interactive Control for Multi-Modal LLMs

1 code implementation CVPR 2024 Yuechen Zhang, Shengju Qian, Bohao Peng, Shu Liu, Jiaya Jia

Without tuning on LLaVA-v1. 5, our method secured 70. 7 in the MMBench test and 1552. 5 in MME-perception.

Text Generation

Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt Training

1 code implementation CVPR 2024 Xiaoyang Wu, Zhuotao Tian, Xin Wen, Bohao Peng, Xihui Liu, Kaicheng Yu, Hengshuang Zhao

In contrast, such privilege has not yet fully benefited 3D deep learning, mainly due to the limited availability of large-scale 3D datasets.

Ranked #3 on 3D Semantic Segmentation on SemanticKITTI (val mIoU metric, using extra training data)

3D Semantic Segmentation LIDAR Semantic Segmentation +1

Hierarchical Dense Correlation Distillation for Few-Shot Segmentation-Extended Abstract

no code implementations27 Jun 2023 Bohao Peng, Zhuotao Tian, Xiaoyang Wu, Chengyao Wang, Shu Liu, Jingyong Su, Jiaya Jia

We hope our work can benefit broader industrial applications where novel classes with limited annotations are required to be decently identified.

Few-Shot Semantic Segmentation Segmentation +2

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