Most Cited 2024 "response calibration" Papers
12,324 papers found • Page 14 of 62
Conference
Segment and Caption Anything
Xiaoke Huang, Jianfeng Wang, Yansong Tang et al.
Dynamic Inertial Poser (DynaIP): Part-Based Motion Dynamics Learning for Enhanced Human Pose Estimation with Sparse Inertial Sensors
Yu Zhang, Songpengcheng Xia, Lei Chu et al.
Second-Order Uncertainty Quantification: A Distance-Based Approach
Yusuf Sale, Viktor Bengs, Michele Caprio et al.
ConvoFusion: Multi-Modal Conversational Diffusion for Co-Speech Gesture Synthesis
Muhammad Hamza Mughal, Rishabh Dabral, Ikhsanul Habibie et al.
SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training
Kazem Meidani, Parshin Shojaee, Chandan Reddy et al.
Language-driven Grasp Detection
An Dinh Vuong, Minh Nhat VU, Baoru Huang et al.
RoHM: Robust Human Motion Reconstruction via Diffusion
Siwei Zhang, Bharat Lal Bhatnagar, Yuanlu Xu et al.
Poisoned Forgery Face: Towards Backdoor Attacks on Face Forgery Detection
Jiawei Liang, Siyuan Liang, Aishan Liu et al.
Open-Vocabulary Semantic Segmentation with Image Embedding Balancing
Xiangheng Shan, Dongyue Wu, Guilin Zhu et al.
Label-anticipated Event Disentanglement for Audio-Visual Video Parsing
Jinxing Zhou, Dan Guo, Yuxin Mao et al.
AnimatableDreamer: Text-Guided Non-rigid 3D Model Generation and Reconstruction with Canonical Score Distillation
Xinzhou Wang, Yikai Wang, junliang ye et al.
Urban Region Embedding via Multi-View Contrastive Prediction
Zechen Li, Weiming Huang, Kai Zhao et al.
In value-based deep reinforcement learning, a pruned network is a good network
Johan Obando Ceron, Aaron Courville, Pablo Samuel Castro
Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam Generation
Gauthier Guinet, Behrooz Tehrani, Anoop Deoras et al.
G2P-DDM: Generating Sign Pose Sequence from Gloss Sequence with Discrete Diffusion Model
Pan Xie, Qipeng Zhang, Peng Taiying et al.
CPLIP: Zero-Shot Learning for Histopathology with Comprehensive Vision-Language Alignment
Sajid Javed, Arif Mahmood, IYYAKUTTI IYAPPAN GANAPATHI et al.
Random Feature Amplification: Feature Learning and Generalization in Neural Networks
Spencer Frei, Niladri Chatterji, Peter L. Bartlett
ExACT: Language-guided Conceptual Reasoning and Uncertainty Estimation for Event-based Action Recognition and More
Jiazhou Zhou, Xu Zheng, Yuanhuiyi Lyu et al.
Logical Languages Accepted by Transformer Encoders with Hard Attention
Pablo Barcelo, Alexander Kozachinskiy, Anthony W. Lin et al.
G-HOP: Generative Hand-Object Prior for Interaction Reconstruction and Grasp Synthesis
Yufei Ye, Abhinav Gupta, Kris Kitani et al.
Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures
Yannick Kirchhoff, Maximilian Rokuss, Saikat Roy et al.
SOK-Bench: A Situated Video Reasoning Benchmark with Aligned Open-World Knowledge
Andong Wang, Bo Wu, Sunli Chen et al.
Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles
Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer et al.
LaMAGIC: Language-Model-based Topology Generation for Analog Integrated Circuits
Chen-Chia Chang, Yikang Shen, Shaoze Fan et al.
CABINET: Content Relevance-based Noise Reduction for Table Question Answering
Sohan Patnaik, Heril Changwal, Milan Aggarwal et al.
MAS: Multi-view Ancestral Sampling for 3D Motion Generation Using 2D Diffusion
Roy Kapon, Guy Tevet, Daniel Cohen-Or et al.
On the Affinity, Rationality, and Diversity of Hierarchical Topic Modeling
Xiaobao Wu, Fengjun Pan, Thong Nguyen et al.
Benchmarks and Challenges in Pose Estimation for Egocentric Hand Interactions with Objects
Zicong Fan, Takehiko Ohkawa, Linlin Yang et al.
Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization
Ziqing Fan, Shengchao Hu, Jiangchao Yao et al.
Provably Powerful Graph Neural Networks for Directed Multigraphs
Beni Egressy, Luc von Niederhäusern, Jovan Blanuša et al.
The Hidden Language of Diffusion Models
Hila Chefer, Oran Lang, Mor Geva et al.
Training Unbiased Diffusion Models From Biased Dataset
Yeongmin Kim, Byeonghu Na, Minsang Park et al.
Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation
Wenxiao Deng, Wenbin Li, Tianyu Ding et al.
Privacy-Preserving Face Recognition Using Trainable Feature Subtraction
Yuxi Mi, Zhizhou Zhong, Yuge Huang et al.
HybridNeRF: Efficient Neural Rendering via Adaptive Volumetric Surfaces
Haithem Turki, Vasu Agrawal, Samuel Rota Bulò et al.
CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables
Jiecheng Lu, Xu Han, Sun et al.
Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning
Dipam Goswami, Albin Soutif, Yuyang Liu et al.
TCI-Former: Thermal Conduction-Inspired Transformer for Infrared Small Target Detection
Tianxiang Chen, Zhentao Tan, Qi Chu et al.
Don't Play Favorites: Minority Guidance for Diffusion Models
Soobin Um, Suhyeon Lee, Jong Chul YE
Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making
Vivek Myers, Chongyi Zheng, Anca Dragan et al.
Neural Monge Map estimation and its applications
Shaojun Ma, Yongxin Chen, Hao-Min Zhou et al.
Multi-Prompts Learning with Cross-Modal Alignment for Attribute-Based Person Re-identification
Yajing Zhai, Yawen Zeng, Zhiyong Huang et al.
Frequency-Adaptive Pan-Sharpening with Mixture of Experts
Xuanhua He, Keyu Yan, Rui Li et al.
Rethinking Generalizable Face Anti-spoofing via Hierarchical Prototype-guided Distribution Refinement in Hyperbolic Space
Chengyang Hu, Ke-Yue Zhang, Taiping Yao et al.
Relevant Intrinsic Feature Enhancement Network for Few-Shot Semantic Segmentation
Xiaoyi Bao, Jie Qin, Siyang Sun et al.
Rotational Equilibrium: How Weight Decay Balances Learning Across Neural Networks
Atli Kosson, Bettina Messmer, Martin Jaggi
Relaxed Contrastive Learning for Federated Learning
Seonguk Seo, Jinkyu Kim, Geeho Kim et al.
LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection
Sifan Zhou, Liang Li, Xinyu Zhang et al.
Learning Spatial Adaptation and Temporal Coherence in Diffusion Models for Video Super-Resolution
Zhikai Chen, Fuchen Long, Zhaofan Qiu et al.
AnySkill: Learning Open-Vocabulary Physical Skill for Interactive Agents
Jieming Cui, Tengyu Liu, Nian Liu et al.
Memorization Capacity of Multi-Head Attention in Transformers
Sadegh Mahdavi, Renjie Liao, Christos Thrampoulidis
Graph Invariant Learning with Subgraph Co-mixup for Out-of-Distribution Generalization
Tianrui Jia, Haoyang Li, Cheng Yang et al.
Graph-Aware Contrasting for Multivariate Time-Series Classification
Yucheng Wang, Yuecong Xu, Jianfei Yang et al.
Explaining Generalization Power of a DNN Using Interactive Concepts
Huilin Zhou, Hao Zhang, Huiqi Deng et al.
GTP-4o: Modality-prompted Heterogeneous Graph Learning for Omni-modal Biomedical Representation
Chenxin Li, Xinyu Liu, Cheng Wang et al.
AST-T5: Structure-Aware Pretraining for Code Generation and Understanding
Linyuan Gong, Mostafa Elhoushi, Alvin Cheung
PeFLL: Personalized Federated Learning by Learning to Learn
Jonathan Scott, Hossein Zakerinia, Christoph Lampert
A Simple Recipe for Language-guided Domain Generalized Segmentation
Mohammad Fahes, TUAN-HUNG VU, Andrei Bursuc et al.
Towards Efficient Exact Optimization of Language Model Alignment
Haozhe Ji, Cheng Lu, Yilin Niu et al.
SAM-guided Graph Cut for 3D Instance Segmentation
Haoyu Guo, He Zhu, Sida Peng et al.
A Unified Recipe for Deriving (Time-Uniform) PAC-Bayes Bounds
Ben Chugg, Hongjian Wang, Aaditya Ramdas
Towards the Uncharted: Density-Descending Feature Perturbation for Semi-supervised Semantic Segmentation
Xiaoyang Wang, Huihui Bai, Limin Yu et al.
RodinHD: High-Fidelity 3D Avatar Generation with Diffusion Models
Bowen Zhang, Yiji Cheng, Chunyu Wang et al.
Cross-view image geo-localization with Panorama-BEV Co-Retrieval Network
ye junyan, Zhutao Lv, Li Weijia et al.
Rethinking the Objectives of Vector-Quantized Tokenizers for Image Synthesis
Yuchao Gu, Xintao Wang, Yixiao Ge et al.
Interpretable Diffusion via Information Decomposition
Xianghao Kong, Ollie Liu, Han Li et al.
SpecNeRF: Gaussian Directional Encoding for Specular Reflections
Li Ma, Vasu Agrawal, Haithem Turki et al.
ViGoR: Improving Visual Grounding of Large Vision Language Models with Fine-Grained Reward Modeling
Siming Yan, Min Bai, Weifeng Chen et al.
Exploring Diffusion Time-steps for Unsupervised Representation Learning
Zhongqi Yue, Zhongqi Yue, Jiankun Wang et al.
Auto-Encoding Morph-Tokens for Multimodal LLM
Kaihang Pan, Siliang Tang, Juncheng Li et al.
AZ-NAS: Assembling Zero-Cost Proxies for Network Architecture Search
Junghyup Lee, Bumsub Ham
Separate and Conquer: Decoupling Co-occurrence via Decomposition and Representation for Weakly Supervised Semantic Segmentation
Zhiwei Yang, Kexue Fu, Minghong Duan et al.
Beyond Prompt Learning: Continual Adapter for Efficient Rehearsal-Free Continual Learning
XINYUAN GAO, Songlin Dong, Yuhang He et al.
Inversion-Free Image Editing with Language-Guided Diffusion Models
Sihan Xu, Yidong Huang, Jiayi Pan et al.
Fantastic Animals and Where to Find Them: Segment Any Marine Animal with Dual SAM
Pingping Zhang, Tianyu Yan, Yang Liu et al.
Domain-Controlled Prompt Learning
Qinglong Cao, Zhengqin Xu, Yuntian Chen et al.
Case-Based or Rule-Based: How Do Transformers Do the Math?
Yi Hu, Xiaojuan Tang, Haotong Yang et al.
Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Networks
Yongqi Ding, Lin Zuo, Mengmeng Jing et al.
GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers
Takeru Miyato, Bernhard Jaeger, Max Welling et al.
CPPO: Continual Learning for Reinforcement Learning with Human Feedback
Han Zhang, Yu Lei, Lin Gui et al.
Towards Generalizable Multi-Object Tracking
Zheng Qin, Le Wang, Sanping Zhou et al.
Single Domain Generalization for Crowd Counting
Zhuoxuan Peng, S.-H. Gary Chan
Sieve: Multimodal Dataset Pruning using Image Captioning Models
Anas Mahmoud, Mostafa Elhoushi, Amro Abbas et al.
Atlantis: Enabling Underwater Depth Estimation with Stable Diffusion
Fan Zhang, Shaodi You, Yu Li et al.
INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer
Han Fang, Zhihao Song, Paul Weng et al.
Towards Transferable Targeted 3D Adversarial Attack in the Physical World
Yao Huang, Yinpeng Dong, Shouwei Ruan et al.
Light and Optimal Schrödinger Bridge Matching
Nikita Gushchin, Sergei Kholkin, Evgeny Burnaev et al.
Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting
Rong Dai, Yonggang Zhang, Ang Li et al.
R^2-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding
Ye Liu, Jixuan He, Wanhua Li et al.
Position: Measure Dataset Diversity, Don't Just Claim It
Dora Zhao, Jerone Andrews, Orestis Papakyriakopoulos et al.
ViT-Lens: Towards Omni-modal Representations
Stan Weixian Lei, Yixiao Ge, Kun Yi et al.
Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG Translation
Debaditya Shome, Pritam Sarkar, Ali Etemad
HarmonyView: Harmonizing Consistency and Diversity in One-Image-to-3D
Sangmin Woo, byeongjun park, Hyojun Go et al.
GreedyViG: Dynamic Axial Graph Construction for Efficient Vision GNNs
Mustafa Munir, William Avery, Md Mostafijur Rahman et al.
TokenCompose: Text-to-Image Diffusion with Token-level Supervision
Zirui Wang, Zhizhou Sha, Zheng Ding et al.
A Non-parametric Graph Clustering Framework for Multi-View Data
Shengju Yu, Siwei Wang, Zhibin Dong et al.
Adaptive Hardness Negative Sampling for Collaborative Filtering
Riwei Lai, Rui Chen, Qilong Han et al.
Split-and-Denoise: Protect large language model inference with local differential privacy
Peihua Mai, Ran Yan, Zhe Huang et al.
Transductive Zero-Shot and Few-Shot CLIP
Ségolène Martin, Yunshi HUANG, Fereshteh Shakeri et al.
RadOcc: Learning Cross-Modality Occupancy Knowledge through Rendering Assisted Distillation
Haiming Zhang, Xu Yan, Dongfeng Bai et al.
QAGait: Revisit Gait Recognition from a Quality Perspective
Zengbin Wang, Saihui Hou, Man Zhang et al.
Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs
Feiyang Kang, Hoang Anh Just, Yifan Sun et al.
Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization
Yanan Wu, Zhixiang Chi, Yang Wang et al.
Rethinking Graph Masked Autoencoders through Alignment and Uniformity
Liang Wang, Xiang Tao, Qiang Liu et al.
Contrasting Deepfakes Diffusion via Contrastive Learning and Global-Local Similarities
Lorenzo Baraldi, Federico Cocchi, Marcella Cornia et al.
A Dynamic Kernel Prior Model for Unsupervised Blind Image Super-Resolution
Zhixiong Yang, Jingyuan Xia, Shengxi Li et al.
VOODOO 3D: Volumetric Portrait Disentanglement For One-Shot 3D Head Reenactment
Phong Tran, Egor Zakharov, Long Nhat Ho et al.
Lossy Image Compression with Foundation Diffusion Models
Lucas Relic, Roberto Azevedo, Markus Gross et al.
CFR-ICL: Cascade-Forward Refinement with Iterative Click Loss for Interactive Image Segmentation
Shoukun Sun, Min Xian, Fei Xu et al.
Distilling Autoregressive Models to Obtain High-Performance Non-autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed
Yubin Xiao, Di Wang, Boyang Li et al.
CAT: Exploiting Inter-Class Dynamics for Domain Adaptive Object Detection
Mikhail Kennerley, Jian-Gang Wang, Bharadwaj Veeravalli et al.
SnAG: Scalable and Accurate Video Grounding
Fangzhou Mu, Sicheng Mo, Yin Li
Root Cause Analysis in Microservice Using Neural Granger Causal Discovery
Cheng-Ming Lin, Ching Chang, Wei-Yao Wang et al.
Audio Generation with Multiple Conditional Diffusion Model
Zhifang Guo, Jianguo Mao, Tao Rui et al.
Attention Guided CAM: Visual Explanations of Vision Transformer Guided by Self-Attention
Saebom Leem, Hyunseok Seo
CausalLM is not optimal for in-context learning
Nan Ding, Tomer Levinboim, Jialin Wu et al.
Material Palette: Extraction of Materials from a Single Image
Ivan Lopes, Fabio Pizzati, Raoul de Charette
OmniViD: A Generative Framework for Universal Video Understanding
Junke Wang, Dongdong Chen, Chong Luo et al.
Plug and Play Active Learning for Object Detection
Chenhongyi Yang, Lichao Huang, Elliot Crowley
LLM4SGG: Large Language Models for Weakly Supervised Scene Graph Generation
Kibum Kim, Kanghoon Yoon, Jaehyeong Jeon et al.
RegionDrag: Fast Region-Based Image Editing with Diffusion Models
Jingyi Lu, Xinghui Li, Kai Han
Instance-Adaptive and Geometric-Aware Keypoint Learning for Category-Level 6D Object Pose Estimation
Xiao Lin, Wenfei Yang, Yuan Gao et al.
Towards a Simultaneous and Granular Identity-Expression Control in Personalized Face Generation
Renshuai Liu, Bowen Ma, Wei Zhang et al.
Color Shift Estimation-and-Correction for Image Enhancement
Yiyu Li, Ke Xu, Gerhard Hancke et al.
Sin3DM: Learning a Diffusion Model from a Single 3D Textured Shape
Rundi Wu, Ruoshi Liu, Carl Vondrick et al.
Exact Diffusion Inversion via Bidirectional Integration Approximation
Guoqiang Zhang, j.p. lewis, W. Bastiaan Kleijn
Physical Property Understanding from Language-Embedded Feature Fields
Albert J. Zhai, Yuan Shen, Emily Y. Chen et al.
UniGarmentManip: A Unified Framework for Category-Level Garment Manipulation via Dense Visual Correspondence
Ruihai Wu, Haoran Lu, Yiyan Wang et al.
NECO: NEural Collapse Based Out-of-distribution detection
Mouïn Ben Ammar, Nacim Belkhir, Sebastian Popescu et al.
Modular Blind Video Quality Assessment
Wen Wen, Mu Li, Yabin ZHANG et al.
CivRealm: A Learning and Reasoning Odyssey in Civilization for Decision-Making Agents
Siyuan Qi, Shuo Chen, Yexin Li et al.
Learning to Transform Dynamically for Better Adversarial Transferability
Rongyi Zhu, Zeliang Zhang, Susan Liang et al.
Learning Generalized Medical Image Segmentation from Decoupled Feature Queries
1207 Qi Bi, Jingjun Yi, Hao Zheng et al.
Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning
Chenyu Zhang, Han Wang, Aritra Mitra et al.
Put Myself in Your Shoes: Lifting the Egocentric Perspective from Exocentric Videos
Mi Luo, Zihui Xue, Alex Dimakis et al.
InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists
Yulu Gan, Sung Woo Park, Alexander Schubert et al.
Learning Background Prompts to Discover Implicit Knowledge for Open Vocabulary Object Detection
Jiaming Li, Jiacheng Zhang, Jichang Li et al.
An Economic Framework for 6-DoF Grasp Detection
Xiao-Ming Wu, Jia-Feng Cai, Jian-Jian Jiang et al.
Gaussian Splatting on the Move: Blur and Rolling Shutter Compensation for Natural Camera Motion
Otto Seiskari, Jerry Ylilammi, Valtteri Kaatrasalo et al.
NoiseCollage: A Layout-Aware Text-to-Image Diffusion Model Based on Noise Cropping and Merging
Takahiro Shirakawa, Seiichi Uchida
Diffusion-based Blind Text Image Super-Resolution
Yuzhe Zhang, jiawei zhang, Hao Li et al.
CLIP the Bias: How Useful is Balancing Data in Multimodal Learning?
Ibrahim Alabdulmohsin, Xiao Wang, Andreas Steiner et al.
Can Biases in ImageNet Models Explain Generalization?
Paul Gavrikov, Janis Keuper
AV-RIR: Audio-Visual Room Impulse Response Estimation
Anton Ratnarajah, Sreyan Ghosh, Sonal Kumar et al.
Training Like a Medical Resident: Context-Prior Learning Toward Universal Medical Image Segmentation
Yunhe Gao
Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts
Jiayi Chen, Benteng Ma, Hengfei Cui et al.
Denoising Vision Transformers
Jiawei Yang, Katie Luo, Jiefeng Li et al.
MVPGS: Excavating Multi-view Priors for Gaussian Splatting from Sparse Input Views
Wangze Xu, Huachen Gao, Shihe Shen et al.
Representation Surgery: Theory and Practice of Affine Steering
Shashwat Singh, Shauli Ravfogel, Jonathan Herzig et al.
Initializing Models with Larger Ones
Zhiqiu Xu, Yanjie Chen, Kirill Vishniakov et al.
Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation
Yuan Yuan, Chenyang Shao, Jingtao Ding et al.
Improving Semantic Correspondence with Viewpoint-Guided Spherical Maps
Octave Mariotti, Oisin Mac Aodha, Hakan Bilen
GeneOH Diffusion: Towards Generalizable Hand-Object Interaction Denoising via Denoising Diffusion
Xueyi Liu, Li Yi
Domain-Agnostic Molecular Generation with Chemical Feedback
Yin Fang, Ningyu Zhang, Zhuo Chen et al.
Cross-Domain Few-Shot Segmentation via Iterative Support-Query Correspondence Mining
Jiahao Nie, Yun Xing, Gongjie Zhang et al.
UniVS: Unified and Universal Video Segmentation with Prompts as Queries
Minghan LI, Shuai Li, Xindong Zhang et al.
Griffon: Spelling out All Object Locations at Any Granularity with Large Language Models
Yufei Zhan, Yousong Zhu, Zhiyang Chen et al.
G-Adapter: Towards Structure-Aware Parameter-Efficient Transfer Learning for Graph Transformer Networks
Anchun Gui, Jinqiang Ye, Han Xiao
SparseDFF: Sparse-View Feature Distillation for One-Shot Dexterous Manipulation
Qianxu Wang, Haotong Zhang, Congyue Deng et al.
A Statistical Theory of Regularization-Based Continual Learning
Xuyang Zhao, Huiyuan Wang, Weiran Huang et al.
Localization Is All You Evaluate: Data Leakage in Online Mapping Datasets and How to Fix It
Adam Lilja, Junsheng Fu, Erik Stenborg et al.
LILO: Learning Interpretable Libraries by Compressing and Documenting Code
Gabriel Grand, Lio Wong, Maddy Bowers et al.
Masked Generative Video-to-Audio Transformers with Enhanced Synchronicity
Santiago Pascual, Chunghsin YEH, Ioannis Tsiamas et al.
APSeg: Auto-Prompt Network for Cross-Domain Few-Shot Semantic Segmentation
Weizhao He, Yang Zhang, Wei Zhuo et al.
Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning
xin zhang, Jiawei Du, Weiying Xie et al.
InterHandGen: Two-Hand Interaction Generation via Cascaded Reverse Diffusion
Jihyun Lee, Shunsuke Saito, Giljoo Nam et al.
Unified Language-driven Zero-shot Domain Adaptation
Senqiao Yang, Zhuotao Tian, Li Jiang et al.
PTQ4SAM: Post-Training Quantization for Segment Anything
Chengtao Lv, Hong Chen, Jinyang Guo et al.
Revisiting the Domain Shift and Sample Uncertainty in Multi-source Active Domain Transfer
Wenqiao Zhang, Zheqi Lv
Expanding Scene Graph Boundaries: Fully Open-vocabulary Scene Graph Generation via Visual-Concept Alignment and Retention
Zuyao Chen, Jinlin Wu, Zhen Lei et al.
Q-value Regularized Transformer for Offline Reinforcement Learning
Shengchao Hu, Ziqing Fan, Chaoqin Huang et al.
Active Statistical Inference
Tijana Zrnic, Emmanuel J Candes
SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases
Yang Liu, Jiashun Cheng, Haihong Zhao et al.
Class-Imbalanced Graph Learning without Class Rebalancing
Zhining Liu, Ruizhong Qiu, Zhichen Zeng et al.
Fair and Efficient Contribution Valuation for Vertical Federated Learning
Zhenan Fan, Huang Fang, Xinglu Wang et al.
Unveiling the Power of Audio-Visual Early Fusion Transformers with Dense Interactions through Masked Modeling
Shentong Mo, Pedro Morgado
Unifying Image Processing as Visual Prompting Question Answering
Yihao Liu, Xiangyu Chen, Xianzheng Ma et al.
Conformal Prediction Sets Improve Human Decision Making
Jesse Cresswell, yi sui, Bhargava Kumar et al.
Disentangled 3D Scene Generation with Layout Learning
Dave Epstein, Ben Poole, Ben Mildenhall et al.
Contextrast: Contextual Contrastive Learning for Semantic Segmentation
Changki Sung, Wanhee Kim, Jungho An et al.
Transformer Fusion with Optimal Transport
Moritz Imfeld, Jacopo Graldi, Marco Giordano et al.
Attention Calibration for Disentangled Text-to-Image Personalization
Yanbing Zhang, Mengping Yang, Qin Zhou et al.
Building Bridges across Spatial and Temporal Resolutions: Reference-Based Super-Resolution via Change Priors and Conditional Diffusion Model
Runmin Dong, Shuai Yuan, Bin Luo et al.
Graph-enhanced Large Language Models in Asynchronous Plan Reasoning
Fangru Lin, Emanuele La Malfa, Valentin Hofmann et al.
FlowIE: Efficient Image Enhancement via Rectified Flow
Yixuan Zhu, Wenliang Zhao, Ao Li et al.
FairerCLIP: Debiasing CLIP's Zero-Shot Predictions using Functions in RKHSs
Sepehr Dehdashtian, Lan Wang, Vishnu Boddeti
Training-Free Open-Vocabulary Segmentation with Offline Diffusion-Augmented Prototype Generation
Luca Barsellotti, Roberto Amoroso, Marcella Cornia et al.
EfficientZero V2: Mastering Discrete and Continuous Control with Limited Data
Shengjie Wang, Shaohuai Liu, Weirui Ye et al.
It's All About Your Sketch: Democratising Sketch Control in Diffusion Models
Subhadeep Koley, Ayan Kumar Bhunia, Deeptanshu Sekhri et al.
Intraoperative 2D/3D Image Registration via Differentiable X-ray Rendering
Vivek Gopalakrishnan, Neel Dey, Polina Golland
Towards Language-Driven Video Inpainting via Multimodal Large Language Models
Jianzong Wu, Xiangtai Li, Chenyang Si et al.
Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection
Xincheng Yao, Ruoqi Li, Zefeng Qian et al.
PREGO: Online Mistake Detection in PRocedural EGOcentric Videos
Alessandro Flaborea, Guido M. D&, #x27 et al.
Image Inpainting via Tractable Steering of Diffusion Models
Anji Liu, Mathias Niepert, Guy Van den Broeck
View Selection for 3D Captioning via Diffusion Ranking
Tiange Luo, Justin Johnson, Honglak Lee
C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models
Mintong Kang, Nezihe Merve Gürel, Ning Yu et al.
Emergent Representations of Program Semantics in Language Models Trained on Programs
Charles Jin, Martin Rinard
Deep Contrastive Graph Learning with Clustering-Oriented Guidance
Mulin Chen, Bocheng Wang, Xuelong Li
Agent3D-Zero: An Agent for Zero-shot 3D Understanding
Sha Zhang, Di Huang, Jiajun Deng et al.
CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image Generation
Kangfu Mei, Mauricio Delbracio, Hossein Talebi et al.