Search Results for author: Jiacheng Lin

Found 10 papers, 9 papers with code

EchoTrack: Auditory Referring Multi-Object Tracking for Autonomous Driving

1 code implementation28 Feb 2024 Jiacheng Lin, Jiajun Chen, Kunyu Peng, Xuan He, Zhiyong Li, Rainer Stiefelhagen, Kailun Yang

This paper introduces the task of Auditory Referring Multi-Object Tracking (AR-MOT), which dynamically tracks specific objects in a video sequence based on audio expressions and appears as a challenging problem in autonomous driving.

Autonomous Driving Multi-Object Tracking +1

GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models

1 code implementation16 Feb 2024 Pengcheng Jiang, Jiacheng Lin, Zifeng Wang, Jimeng Sun, Jiawei Han

The field of relation extraction (RE) is experiencing a notable shift towards generative relation extraction (GRE), leveraging the capabilities of large language models (LLMs).

Relation Relation Extraction +1

CAMBranch: Contrastive Learning with Augmented MILPs for Branching

no code implementations6 Feb 2024 Jiacheng Lin, Meng Xu, Zhihua Xiong, Huangang Wang

CAMBranch leverages both MILPs and AMILPs for imitation learning and employs contrastive learning to enhance the model's ability to capture MILP features, thereby improving the quality of branching decisions.

Contrastive Learning Imitation Learning

Cascade Speculative Drafting for Even Faster LLM Inference

1 code implementation18 Dec 2023 Ziyi Chen, Xiaocong Yang, Jiacheng Lin, Chenkai Sun, Kevin Chen-Chuan Chang, Jie Huang

Introduced to enhance the efficiency of large language model (LLM) inference, speculative decoding operates by having a smaller model generate a draft.

Language Modelling Large Language Model

Examining User-Friendly and Open-Sourced Large GPT Models: A Survey on Language, Multimodal, and Scientific GPT Models

1 code implementation27 Aug 2023 Kaiyuan Gao, Sunan He, Zhenyu He, Jiacheng Lin, Qizhi Pei, Jie Shao, Wei zhang

Generative pre-trained transformer (GPT) models have revolutionized the field of natural language processing (NLP) with remarkable performance in various tasks and also extend their power to multimodal domains.

VPUFormer: Visual Prompt Unified Transformer for Interactive Image Segmentation

1 code implementation11 Jun 2023 Xu Zhang, Kailun Yang, Jiacheng Lin, Jin Yuan, Zhiyong Li, Shutao Li

Specifically, we design a Prompt-unified Encoder (PuE) by using Gaussian mapping to generate a unified one-dimensional vector for click, box, and scribble prompts, which well captures users' intentions as well as provides a denser representation of user prompts.

Image Segmentation Segmentation +1

SSD-MonoDETR: Supervised Scale-aware Deformable Transformer for Monocular 3D Object Detection

1 code implementation12 May 2023 Xuan He, Fan Yang, Kailun Yang, Jiacheng Lin, Haolong Fu, Meng Wang, Jin Yuan, Zhiyong Li

To tackle this problem, this paper proposes a novel "Supervised Scale-aware Deformable Attention" (SSDA) for monocular 3D object detection.

Monocular 3D Object Detection Object +1

Bi-Mapper: Holistic BEV Semantic Mapping for Autonomous Driving

1 code implementation7 May 2023 Siyu Li, Kailun Yang, Hao Shi, Jiaming Zhang, Jiacheng Lin, Zhifeng Teng, Zhiyong Li

At the same time, an Across-Space Loss (ASL) is designed to mitigate the negative impact of geometric distortions.

Autonomous Driving

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