Most Cited AAAI "position forest transformer" Papers
5,317 papers found • Page 4 of 27
Conference
Cycle-Consistency Learning for Captioning and Grounding
Ning Wang, Jiajun Deng, Mingbo Jia
Towards Fair Graph Federated Learning via Incentive Mechanisms
12794 Chenglu Pan, Jiarong Xu, Yue Yu et al.
Multi-Objective Bayesian Optimization with Active Preference Learning
Ryota Ozaki, Kazuki Ishikawa, Youhei Kanzaki et al.
Rating-Based Reinforcement Learning
Devin White, Mingkang Wu, Ellen Novoseller et al.
ProCC: Progressive Cross-Primitive Compatibility for Open-World Compositional Zero-Shot Learning
Fushuo Huo, Wenchao Xu, Song Guo et al.
Towards Robust Image Stitching: An Adaptive Resistance Learning against Compatible Attacks
Zhiying Jiang, Xingyuan Li, Jinyuan Liu et al.
Patch-level Sounding Object Tracking for Audio-Visual Question Answering
Zhangbin Li, Jinxing Zhou, Jing Zhang et al.
Sum of Squares Circuits
Lorenzo Loconte, Stefan Mengel, Antonio Vergari
Regroup Median Loss for Combating Label Noise
Authors: Fengpeng Li, Kemou Li, Jinyu Tian et al.
CDPNet: Cross-Modal Dual Phases Network for Point Cloud Completion
Zhenjiang Du, Jiale Dou, Zhitao Liu et al.
Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment
Jun Liu, Zhenglun Kong, Pu Zhao et al.
Explore In-Context Segmentation via Latent Diffusion Models
Chaoyang Wang, Xiangtai Li, Henghui Ding et al.
Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations
Renzhe Zhou, Chen-Xiao Gao, Zongzhang Zhang et al.
AGS: Affordable and Generalizable Substitute Training for Transferable Adversarial Attack
Ruikui Wang, Yuanfang Guo, Yunhong Wang
Sync-NeRF: Generalizing Dynamic NeRFs to Unsynchronized Videos
Seoha Kim, Jeongmin Bae, Youngsik Yun et al.
TextToucher: Fine-Grained Text-to-Touch Generation
Jiahang Tu, Hao Fu, Fengyu Yang et al.
Robust Self-Paced Hashing for Cross-Modal Retrieval with Noisy Labels
Ruitao Pu, Yuan Sun, Yang Qin et al.
MapExpert: Online HD Map Construction with Simple and Efficient Sparse Map Element Expert
Dapeng Zhang, Dayu Chen, Peng Zhi et al.
Compound Text-Guided Prompt Tuning via Image-Adaptive Cues
Hao Tan, Jun Li, Yizhuang Zhou et al.
Beyond Prototypes: Semantic Anchor Regularization for Better Representation Learning
Yanqi Ge, Qiang Nie, Ye Huang et al.
Identifiability of Direct Effects from Summary Causal Graphs
Simon Ferreira, Charles Assaad
Exploring More from Multiple Gait Modalities for Human Identification
Dongyang Jin, Chao Fan, Weihua Chen et al.
Learning Representations on the Unit Sphere: Investigating Angular Gaussian and Von Mises-Fisher Distributions for Online Continual Learning
Nicolas Michel, Giovanni Chierchia, Romain Negrel et al.
Enhancing RAW-to-sRGB with Decoupled Style Structure in Fourier Domain
Xuanhua He, Tao Hu, Guoli Wang et al.
MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning
Yaming Yang, Dilxat Muhtar, Yelong Shen et al.
ISP-Teacher: Image Signal Process with Disentanglement Regularization for Unsupervised Domain Adaptive Dark Object Detection
Yin Zhang, Yongqiang Zhang, Zian Zhang et al.
Distilling Reliable Knowledge for Instance-Dependent Partial Label Learning
Dong-Dong Wu, Deng-Bao Wang, Min-Ling Zhang
HEROS-GAN: Honed-Energy Regularized and Optimal Supervised GAN for Enhancing Accuracy and Range of Low-Cost Accelerometers
Yifeng Wang, Yi Zhao
OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments
Jinyi Liu, Zhi Wang, Yan Zheng et al.
KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy
Qianxiong Xu, Cheng Long, Ziyue Li et al.
Trust Region Methods for Nonconvex Stochastic Optimization beyond Lipschitz Smoothness
Chenghan Xie, Chenxi Li, Chuwen Zhang et al.
Full Bayesian Significance Testing via Neural Networks
Zehua Liu, Zimeng Li, Jingyuan Wang et al.
RI-MAE: Rotation-Invariant Masked AutoEncoders for Self-Supervised Point Cloud Representation Learning
Kunming Su, Qiuxia Wu, Panpan Cai et al.
Learning Temporal Resolution in Spectrogram for Audio Classification
Haohe Liu, Xubo Liu, Qiuqiang Kong et al.
Multi-Scene Generalized Trajectory Global Graph Solver with Composite Nodes for Multiple Object Tracking
Yan Gao, Haojun Xu, Jie Li et al.
TriSampler: A Better Negative Sampling Principle for Dense Retrieval
Zhen Yang, Zhou Shao, Yuxiao Dong et al.
Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting
Jingru Fei, Kun Yi, Wei Fan et al.
Eve: Efficient Multimodal Vision Language Models with Elastic Visual Experts
Miao Rang, Zhenni Bi, Chuanjian Liu et al.
AWRaCLe: All-Weather Image Restoration Using Visual In-Context Learning
Sudarshan Rajagopalan, Vishal M. Patel
Local Conditional Controlling for Text-to-Image Diffusion Models
Yibo Zhao, Liang Peng, Yang Yang et al.
Chronic Poisoning: Backdoor Attack against Split Learning
Fangchao Yu, Bo Zeng, Kai Zhao et al.
SpectralNeRF: Physically Based Spectral Rendering with Neural Radiance Field
Ru Li, Jia Liu, Guanghui Liu et al.
DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo
Zhenlong Yuan, Jinguo Luo, Fei Shen et al.
AdapEdit: Spatio-Temporal Guided Adaptive Editing Algorithm for Text-Based Continuity-Sensitive Image Editing
Zhiyuan Ma, Guoli Jia, Bowen Zhou
Federated Causality Learning with Explainable Adaptive Optimization
Dezhi Yang, Xintong He, Jun Wang et al.
Scribble Hides Class: Promoting Scribble-Based Weakly-Supervised Semantic Segmentation
Xinliang Zhang, Lei Zhu, Hangzhou He et al.
Multi-task Visual Grounding with Coarse-to-Fine Consistency Constraints
Ming Dai, Jian Li, Jiedong Zhuang et al.
Cell Graph Transformer for Nuclei Classification
Wei Lou, Guanbin Li, Xiang Wan et al.
Rethinking the Paradigm of Content Constraints in Unpaired Image-to-Image Translation
Xiuding Cai, Yaoyao Zhu, Dong Miao et al.
Parameterized Approximation Algorithms for Sum of Radii Clustering and Variants
Xianrun Chen, Dachuan Xu, Yicheng Xu et al.
Fed-QSSL: A Framework for Personalized Federated Learning under Bitwidth and Data Heterogeneity
Yiyue Chen, Haris Vikalo, Chianing Wang
Fine-Grained Knowledge Selection and Restoration for Non-exemplar Class Incremental Learning
Authors: Jiang-Tian Zhai, Xialei Liu, Lu Yu et al.
Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction
Zhixuan Chu, Mengxuan Hu, Qing Cui et al.
SRFormer: Text Detection Transformer with Incorporated Segmentation and Regression
Qingwen Bu, Sungrae Park, Minsoo Khang et al.
SPD-DDPM: Denoising Diffusion Probabilistic Models in the Symmetric Positive Definite Space
Yunchen Li, Zhou Yu, Gaoqi He et al.
FSTA-SNN:Frequency-Based Spatial-Temporal Attention Module for Spiking Neural Networks
Kairong Yu, Tianqing Zhang, Hongwei Wang et al.
On the Relationship Between Monotone and Squared Probabilistic Circuits
Benjie Wang, Guy Van den Broeck
Sign-IDD: Iconicity Disentangled Diffusion for Sign Language Production
Shengeng Tang, Jiayi He, Dan Guo et al.
CaRDiff: Video Salient Object Ranking Chain of Thought Reasoning for Saliency Prediction with Diffusion
Yunlong Tang, Gen Zhan, Li Yang et al.
Label-Efficient Few-Shot Semantic Segmentation with Unsupervised Meta-Training
Jianwu Li, Kaiyue Shi, Guo-Sen Xie et al.
FashionERN: Enhance-and-Refine Network for Composed Fashion Image Retrieval
Yanzhe Chen, Huasong Zhong, Xiangteng He et al.
Diffusion Models for Attribution
Xiongren Chen, Jiuyong Li, Jixue Liu et al.
Another Way to the Top: Exploit Contextual Clustering in Learned Image Coding
Yichi Zhang, Zhihao Duan, Ming Lu et al.
Enhancing Multi-Robot Semantic Navigation Through Multimodal Chain-of-Thought Score Collaboration
Zhixuan Shen, Haonan Luo, Kexun Chen et al.
D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations
Pengyue Jia, Yichao Wang, Shanru LIN et al.
Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing
Lokesh Nagalapatti, Akshay Iyer, Abir De et al.
Task-Disruptive Background Suppression for Few-Shot Segmentation
Suho Park, SuBeen Lee, Sangeek Hyun et al.
Adversarial Attacks on the Interpretation of Neuron Activation Maximization
Géraldin Nanfack, Alexander Fulleringer, Jonathan Marty et al.
Identifying Query-Relevant Neurons in Large Language Models for Long-Form Texts
Lihu Chen, Adam Dejl, Francesca Toni
Robust Nonparametric Regression under Poisoning Attack
Puning Zhao, Zhiguo Wan
Self-Supervised Disentangled Representation Learning for Robust Target Speech Extraction
Zhaoxi Mu, Xinyu Yang, Sining Sun et al.
Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off
Yuansan Liu, Ruqing Zhang, Mingkun Zhang et al.
11293 Cross-Class Feature Augmentation for Class Incremental Learning
Taehoon Kim, JaeYoo Park, Bohyung Han
M3SOT: Multi-Frame, Multi-Field, Multi-Space 3D Single Object Tracking
Jiaming Liu, Yue Wu, Maoguo Gong et al.
Any-Stereo: Arbitrary Scale Disparity Estimation for Iterative Stereo Matching
Zhaohuai Liang, Changhe Li
RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors
Fengshuo Bai, Runze Liu, Yali Du et al.
Symbolic Regression Enhanced Decision Trees for Classification Tasks
Kei Sen Fong, Mehul Motani
Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts
Kun Jin, Tongxin Yin, Zhongzhu Chen et al.
CoRA: Collaborative Information Perception by Large Language Model’s Weights for Recommendation
Yuting Liu, Jinghao Zhang, Yizhou Dang et al.
ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning
Hongshu Guo, Zeyuan Ma, Jiacheng Chen et al.
Generalizable Fourier Augmentation for Unsupervised Video Object Segmentation
Huihui Song, Tiankang Su, Yuhui Zheng et al.
Exploring Vacant Classes in Label-Skewed Federated Learning
Kuangpu Guo, Yuhe Ding, Jian Liang et al.
Detail Matters: Mamba-Inspired Joint Unfolding Network for Snapshot Spectral Compressive Imaging
Mengjie Qin, Yuchao Feng, Zongliang Wu et al.
UCF-Crime-DVS: A Novel Event-Based Dataset for Video Anomaly Detection with Spiking Neural Networks
Yuanbin Qian, Shuhan Ye, Chong Wang et al.
Robust Test-Time Adaptation for Zero-Shot Prompt Tuning
Ding-Chu Zhang, Zhi Zhou, Yufeng Li
RhythmMamba: Fast, Lightweight, and Accurate Remote Physiological Measurement
Bochao Zou, Zizheng Guo, Xiaocheng Hu et al.
Double-Layer Hybrid-Label Identification Feature Selection for Multi-View Multi-Label Learning
Pingting Hao, Kunpeng Liu, Wanfu Gao
CL-Attack: Textual Backdoor Attacks via Cross-Lingual Triggers
Jingyi Zheng, Tianyi Hu, Tianshuo Cong et al.
A Generalized Shuffle Framework for Privacy Amplification: Strengthening Privacy Guarantees and Enhancing Utility
Chen E, Yang Cao, Ge Yifei
Exploring Transformer Extrapolation
Zhen Qin, Yiran Zhong, Hui Deng
GeoBEV: Learning Geometric BEV Representation for Multi-view 3D Object Detection
Jinqing Zhang, Yanan Zhang, Yunlong Qi et al.
Advancing Spiking Neural Networks Towards Multiscale Spatiotemporal Interaction Learning
Yimeng Shan, Malu Zhang, Rui-jie Zhu et al.
Generalized Planning for the Abstraction and Reasoning Corpus
Chao Lei, Nir Lipovetzky, Krista A. Ehinger
Neural Causal Abstractions
Kevin Xia, Elias Bareinboim
Efficient 3D Recognition with Event-driven Spike Sparse Convolution
Xuerui Qiu, Man Yao, Jieyuan Zhang et al.
Backdoor Attacks Against No-Reference Image Quality Assessment Models via a Scalable Trigger
Yi Yu, Song Xia, Xun Lin et al.
Yuan: Yielding Unblemished Aesthetics Through a Unified Network for Visual Imperfections Removal in Generated Images
Zhenyu Yu, Chee Seng Chan
CLIMB-ReID: A Hybrid CLIP-Mamba Framework for Person Re-Identification
Chenyang Yu, Xuehu Liu, Jiawen Zhu et al.
UniMuMo: Unified Text, Music, and Motion Generation
Han Yang, Kun Su, Yutong Zhang et al.
One Step Closer to Unbiased Aleatoric Uncertainty Estimation
Wang Zhang, Ziwen Martin Ma, Subhro Das et al.
Defeasible Visual Entailment: Benchmark, Evaluator, and Reward-Driven Optimization
Yue Zhang, Liqiang Jing, Vibhav Gogate
Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation
Zhuohang Dang, Minnan Luo, Chengyou Jia et al.
Multi-Teacher Knowledge Distillation with Reinforcement Learning for Visual Recognition
Chuanguang Yang, XinQiang Yu, Han Yang et al.
MGNet: Learning Correspondences via Multiple Graphs
Dai Luanyuan, Xiaoyu Du, Hanwang Zhang et al.
SymmCompletion: High-Fidelity and High-Consistency Point Cloud Completion with Symmetry Guidance
Hongyu Yan, Zijun Li, Kunming Luo et al.
OLiDM: Object-aware LiDAR Diffusion Models for Autonomous Driving
Tianyi Yan, Junbo Yin, Xianpeng Lang et al.
Weisfeiler and Lehman Go Paths: Learning Topological Features via Path Complexes
Quang Truong, Peter Chin
Speech Recognition Meets Large Language Model: Benchmarking, Models, and Exploration
Ziyang Ma, Guanrou Yang, Yifan Yang et al.
Debiased All-in-one Image Restoration with Task Uncertainty Regularization
Gang Wu, Junjun Jiang, Yijun Wang et al.
HandDiffuse: Generative Controllers for Two-Hand Interactions via Diffusion Models
Pei Lin
ConcaveQ: Non-monotonic Value Function Factorization via Concave Representations in Deep Multi-Agent Reinforcement Learning
Huiqun Li, Hanhan Zhou, Yifei Zou et al.
Learning Efficient and Robust Multi-Agent Communication via Graph Information Bottleneck
Shifei Ding, Wei Du, Ling Ding et al.
CyberPal.AI: Empowering LLMs with Expert-Driven Cybersecurity Instructions
Matan Levi, Yair Allouche, Daniel Ohayon et al.
Bidirectional Temporal Plan Graph: Enabling Switchable Passing Orders for More Efficient Multi-Agent Path Finding Plan Execution
Yifan Su, Rishi Veerapaneni, Jiaoyang Li
Generative Planning with 3D-Vision Language Pre-training for End-to-End Autonomous Driving
Tengpeng Li, Hanli Wang, Xianfei Li et al.
Focus on Local: Finding Reliable Discriminative Regions for Visual Place Recognition
Changwei Wang, Shunpeng Chen, Yukun Song et al.
GRPose: Learning Graph Relations for Human Image Generation with Pose Priors
Xiangchen Yin, Donglin Di, Lei Fan et al.
Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting
Muyao Wang, Wenchao Chen, Bo Chen
CF-NeRF: Camera Parameter Free Neural Radiance Fields with Incremental Learning
Qingsong Yan, Qiang Wang, Kaiyong Zhao et al.
CAVEN: An Embodied Conversational Agent for Efficient Audio-Visual Navigation in Noisy Environments
Xiulong Liu, Sudipta Paul, Moitreya Chatterjee et al.
Learning Task-Aware Language-Image Representation for Class-Incremental Object Detection
Hongquan Zhang, Bin-Bin Gao, Yi Zeng et al.
Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold
Alireza Ganjdanesh, Shangqian Gao, Hirad Alipanah et al.
Tuning-Free Inversion-Enhanced Control for Consistent Image Editing
Xiaoyue Duan, Shuhao Cui, Guoliang Kang et al.
Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning
Yan Fan, Yu Wang, Pengfei Zhu et al.
Learning Spatially Collaged Fourier Bases for Implicit Neural Representation
Jason Chun Lok Li, Chang Liu, Binxiao Huang et al.
Frame Order Matters: A Temporal Sequence-Aware Model for Few-Shot Action Recognition
Bozheng Li, Mushui Liu, Gaoang Wang et al.
FedST: Federated Style Transfer Learning for Non-IID Image Segmentation
Boyuan Ma, Yin Xiang, Jing Tan et al.
FD3D: Exploiting Foreground Depth Map for Feature-Supervised Monocular 3D Object Detection
Zizhang Wu, Yuanzhu Gan, Yunzhe Wu et al.
FedLF: Layer-Wise Fair Federated Learning
Zibin Pan, Chi Li, Fangchen Yu et al.
Cycle Self-Refinement for Multi-Source Domain Adaptation
Chaoyang Zhou, Zengmao Wang, Bo Du et al.
Temporal Correlation Vision Transformer for Video Person Re-Identification
Pengfei Wu, Le Wang, Sanping Zhou et al.
Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation
HyunGi Kim, Siwon Kim, Jisoo Mok et al.
AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction
Qi Liu, Xuyang Hou, Defu Lian et al.
Learning to Pivot as a Smart Expert
Tianhao Liu, Shanwen Pu, Dongdong Ge et al.
Zero-Shot Low-Light Image Enhancement via Latent Diffusion Models
Yan Huang, Xiaoshan Liao, Jinxiu Liang et al.
FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation
Yuntian Bo, Yazhou Zhu, Lunbo Li et al.
Non-parametric Representation Learning with Kernels
Hebaixu Wang, Meiqi Gong, Xiaoguang Mei et al.
Federated Learning with Sample-level Client Drift Mitigation
Haoran Xu, Jiaze Li, Wanyi Wu et al.
1497 Once and for All: Universal Transferable Adversarial Perturbation against Deep Hashing-Based Facial Image Retrieval
Long Tang, Dengpan Ye, Yunna Lv et al.
SLIP: Spoof-Aware One-Class Face Anti-Spoofing with Language Image Pretraining
Pei-Kai Huang, Jun-Xiong Chong, Cheng-Hsuan Chiang et al.
Detect Any Keypoints: An Efficient Light-Weight Few-Shot Keypoint Detector
Changsheng Lu, Piotr Koniusz
Enhancing Trustworthiness of Graph Neural Networks with Rank-Based Conformal Training
Ting Wang, Zhixin Zhou, Rui Luo
Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection
Wen-Chao Hu, Wang-Zhou Dai, Yuan Jiang et al.
Accurate and Regret-Aware Numerical Problem Solver for Tabular Question Answering
Yuxiang Wang, Jianzhong Qi, Junhao Gan
Union Subgraph Neural Networks
Jiaxing Xu, Aihu Zhang, Qingtian Bian et al.
UNEX-RL: Reinforcing Long-Term Rewards in Multi-Stage Recommender Systems with UNidirectional EXecution
Gengrui Zhang, Xiaoshuang Chen, Yao WANG et al.
Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective
Bo Ni, Yu Wang, Lu Cheng et al.
DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models
Haonan Yuan, Qingyun Sun, Zhaonan Wang et al.
X4D-SceneFormer: Enhanced Scene Understanding on 4D Point Cloud Videos through Cross-Modal Knowledge Transfer
Linglin Jing, Ying Xue, Xu Yan et al.
Bridging the User-side Knowledge Gap in Knowledge-aware Recommendations with Large Language Models
Zheng Hu, Zhe Li, Ziyun Jiao et al.
STD-PLM: Understanding Both Spatial and Temporal Properties of Spatial-Temporal Data with PLM
Yiheng Huang, Xiaowei Mao, Shengnan Guo et al.
Selective Visual Prompting in Vision Mamba
Yifeng Yao, Zichen Liu, Zhenyu Cui et al.
Synergistic Anchored Contrastive Pre-training for Few-Shot Relation Extraction
Da Luo, Yanglei Gan, Rui Hou et al.
Bridging the Gap for Test-Time Multimodal Sentiment Analysis
Zirun Guo, Tao Jin, Wenlong Xu et al.
MM-CamObj: A Comprehensive Multimodal Dataset for Camouflaged Object Scenarios
Jiacheng Ruan, Wenzhen Yuan, Zehao Lin et al.
Test-Time Personalization with Meta Prompt for Gaze Estimation
Huan Liu, Julia Qi, Zhenhao Li et al.
DELTA: Pre-Train a Discriminative Encoder for Legal Case Retrieval via Structural Word Alignment
Haitao Li, Qingyao Ai, Xinyan Han et al.
Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images
Bao Li, Zhenyu Liu, Lizhi Shao et al.
Planning in the Dark: LLM-Symbolic Planning Pipeline Without Experts
Sukai Huang, Nir Lipovetzky, Trevor Cohn
ConsistNER: Towards Instructive NER Demonstrations for LLMs with the Consistency of Ontology and Context
Chenxiao Wu, Ke Wenjun, Peng Wang et al.
ConVis: Contrastive Decoding with Hallucination Visualization for Mitigating Hallucinations in Multimodal Large Language Models
Yeji Park, Deokyeong Lee, Junsuk Choe et al.
SeGA: Preference-Aware Self-Contrastive Learning with Prompts for Anomalous User Detection on Twitter
Ying-Ying Chang, Wei-Yao Wang, Wen-Chih Peng
KnowPO: Knowledge-Aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models
Ruizhe Zhang, Yongxin Xu, Yuzhen Xiao et al.
Learning 2D Invariant Affordance Knowledge for 3D Affordance Grounding
Xianqiang Gao, Pingrui Zhang, Delin Qu et al.
MetaRLEC: Meta-Reinforcement Learning for Discovery of Brain Effective Connectivity
Zuozhen Zhang, Junzhong Ji, Jinduo Liu
SDGMNet: Statistic-Based Dynamic Gradient Modulation for Local Descriptor Learning
Yuxin Deng, Jiayi Ma
Gaussian Process Neural Additive Models
Wei Zhang, Brian Barr, John Paisley
VQ4DiT: Efficient Post-Training Vector Quantization for Diffusion Transformers
Juncan Deng, Shuaiting Li, Zeyu Wang et al.
MIDI-GPT: A Controllable Generative Model for Computer-Assisted Multitrack Music Composition
Philippe Pasquier, Jeff Ens, Nathan Fradet et al.
LINGO-Space: Language-Conditioned Incremental Grounding for Space
Dohyun Kim, Nayoung Oh, Deokmin Hwang et al.
Diff-Shadow: Global-guided Diffusion Model for Shadow Removal
Jinting Luo, Ru Li, Chengzhi Jiang et al.
Knowledge-Aware Parameter Coaching for Personalized Federated Learning
Mingjian Zhi, Yuanguo Bi, Wenchao Xu et al.
Understanding Emotional Body Expressions via Large Language Models
Haifeng Lu, Jiuyi Chen, Feng Liang et al.
BLADE: Box-Level Supervised Amodal Segmentation through Directed Expansion
Zhaochen Liu, Zhixuan Li, Tingting Jiang
QLABGrad: A Hyperparameter-Free and Convergence-Guaranteed Scheme for Deep Learning
Fang-Xiang Wu, Minghan Fu
BearLLM: A Prior Knowledge-Enhanced Bearing Health Management Framework with Unified Vibration Signal Representation
Haotian Peng, Jiawei Liu, Jinsong Du et al.
Continuous Piecewise-Affine Based Motion Model for Image Animation
Hexiang Wang, Fengqi Liu, Qianyu Zhou et al.
Revisiting Tampered Scene Text Detection in the Era of Generative AI
Chenfan Qu, Yiwu Zhong, Fengjun Guo et al.
Uncertainty Regularized Evidential Regression
Kai Ye, Tiejin Chen, Hua Wei et al.
DASK: Distribution Rehearsing via Adaptive Style Kernel Learning for Exemplar-Free Lifelong Person Re-Identification
Kunlun Xu, Chenghao Jiang, Peixi Xiong et al.
MPTSNet: Integrating Multiscale Periodic Local Patterns and Global Dependencies for Multivariate Time Series Classification
Yang Mu, Muhammad Shahzad, Xiao Xiang Zhu
Multi-Step Denoising Scheduled Sampling: Towards Alleviating Exposure Bias for Diffusion Models
Zhiyao Ren, Yibing Zhan, Liang Ding et al.
OmniCount: Multi-label Object Counting with Semantic-Geometric Priors
Anindya Mondal, Sauradip Nag, Xiatian Zhu et al.
CoRe: Context-Regularized Text Embedding Learning for Text-to-Image Personalization
Feize Wu, Yun Pang, Junyi Zhang et al.
DTMFormer: Dynamic Token Merging for Boosting Transformer-Based Medical Image Segmentation
Zhehao Wang, Xian Lin, Nannan Wu et al.
Conformalized Interval Arithmetic with Symmetric Calibration
Rui Luo, Zhixin Zhou
Stability in Online Coalition Formation
Authors: Martin Bullinger, René Romen
Conformal Thresholded Intervals for Efficient Regression
Rui Luo, Zhixin Zhou
Adaptive Prompting for Continual Relation Extraction: A Within-Task Variance Perspective
Minh Le, Tien Ngoc Luu, An Nguyen The et al.
From Words to Worth: Newborn Article Impact Prediction with LLM
Penghai Zhao, Qinghua Xing, Kairan Dou et al.
Envisioning Class Entity Reasoning by Large Language Models for Few-shot Learning
Mushui Liu, Fangtai Wu, Bozheng Li et al.
Importance Weighting Can Help Large Language Models Self-Improve
Chunyang Jiang, Chi-Min Chan, Wei Xue et al.
Tri-Ergon: Fine-Grained Video-to-Audio Generation with Multi-Modal Conditions and LUFS Control
Bingliang Li, Fengyu Yang, Yuxin Mao et al.
Multi-View Dynamic Reflection Prior for Video Glass Surface Detection
Fang Liu, Yuhao Liu, Jiaying Lin et al.
Knowledge Graph Completion with Relation-Aware Anchor Enhancement
Duanyang Yuan, Sihang Zhou, Xiaoshu Chen et al.
Parsing All Adverse Scenes: Severity-Aware Semantic Segmentation with Mask-Enhanced Cross-Domain Consistency
Fuhao Li, Ziyang Gong, Yupeng Deng et al.
FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing
Yongzhe Jia, Xuyun Zhang, Amin Beheshti et al.
B-spine: Learning B-spline Curve Representation for Robust and Interpretable Spinal Curvature Estimation
Hao Wang, Qiang Song, Ruofeng Yin et al.
Hierarchical Mixture of Experts: Generalizable Learning for High-Level Synthesis
Weikai Li, Ding Wang, Zijian Ding et al.
Patched Line Segment Learning for Vector Road Mapping
Jiakun Xu, Bowen Xu, Gui-Song Xia et al.