Most Cited 2025 "promptable foundation models" Papers
22,274 papers found • Page 78 of 112
Conference
Directional Label Diffusion Model for Learning from Noisy Labels
Senyu Hou, Gaoxia Jiang, Jia Zhang et al.
UniFuse: A Unified All-in-One Framework for Multi-Modal Medical Image Fusion Under Diverse Degradations and Misalignments
Dayong Su, Yafei Zhang, Huafeng Li et al.
MACS: Multi-Agent Reinforcement Learning for Optimization of Crystal Structures
Elena Zamaraeva, Christopher Collins, George Darling et al.
Oracle-Efficient Combinatorial Semi-Bandits
Jung-hun Kim, Milan Vojnovic, Min-hwan Oh
VideoCAD: A Dataset and Model for Learning Long‑Horizon 3D CAD UI Interactions from Video
King Yiu Brandon Man, Ghadi Nehme, Md Ferdous Alam et al.
Trained Mamba Emulates Online Gradient Descent in In-Context Linear Regression
Jiarui Jiang, Wei Huang, Miao Zhang et al.
Principles of Visual Tokens for Efficient Video Understanding
Xinyue Hao, Li, Shreyank Gowda et al.
FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers
Yanbing Zhang, Zhe Wang, Qin Zhou et al.
On Minimax Estimation of Parameters in Softmax-Contaminated Mixture of Experts
Fanqi Yan, Huy Nguyen, Le Dung et al.
On the Robustness Tradeoff in Fine-Tuning
Kunyang Li, Jean-Charles Noirot Ferrand, Ryan Sheatsley et al.
Impact of Layer Norm on Memorization and Generalization in Transformers
Rishi Singhal, Jung-Eun Kim
CopyrightShield: Enhancing Diffusion Model Security Against Copyright Infringement Attacks
Zhixiang Guo, Siyuan Liang, Aishan Liu et al.
HarmonySeg: Tubular Structure Segmentation with Deep-Shallow Feature Fusion and Growth-Suppression Balanced Loss
Ke Zhang, Yi Huang, Wei Liu et al.
Linear Transformers Implicitly Discover Unified Numerical Algorithms
Patrick Lutz, Aditya Gangrade, Hadi Daneshmand et al.
Automaton Constrained Q-Learning
Anastasios Manganaris, Vittorio Giammarino, Ahmed Qureshi
AiDE-Q: Synthetic Labeled Datasets Can Enhance Learning Models for Quantum Property Estimation
Xinbiao Wang, Yuxuan Du, Zihan Lou et al.
OMiSO: Adaptive optimization of state-dependent brain stimulation to shape neural population states
Yuki Minai, Joana Soldado-Magraner, Byron M Yu et al.
Hephaestus: Mixture Generative Modeling with Energy Guidance for Large-scale QoS Degradation
Nguyen Do, Bach Ngo, Youval Kashuv et al.
AugGen: Synthetic Augmentation using Diffusion Models Can Improve Recognition
Parsa Rahimi, Damien Teney, Sébastien Marcel
GreenHyperSpectra: A multi-source hyperspectral dataset for global vegetation trait prediction
Eya Cherif, Arthur Ouaknine, Luke Brown et al.
SinGS: Animatable Single-Image Human Gaussian Splats with Kinematic Priors
Yufan Wu, Xuanhong Chen, Wen Li et al.
Neurons as Detectors of Coherent Sets in Sensory Dynamics
Joshua L Pughe-Sanford, Xuehao Ding, Jason Moore et al.
Generative Caching for Structurally Similar Prompts and Responses
Sarthak Chakraborty, Suman Nath, Xuchao Zhang et al.
CaMuViD: Calibration-Free Multi-View Detection
Amir Etefaghi Daryani, M. Usman Maqbool Bhutta, Byron Hernandez et al.
Data Distributional Properties As Inductive Bias for Systematic Generalization
Felipe del Rio, Alain Raymond, Daniel Florea et al.
Dataset Ownership Verification for Pre-trained Masked Models
Yuechen Xie, Jie Song, Yicheng Shan et al.
ShapeShifter: 3D Variations Using Multiscale and Sparse Point-Voxel Diffusion
Nissim Maruani, Wang Yifan, Matthew Fisher et al.
What One Cannot, Two Can: Two-Layer Transformers Provably Represent Induction Heads on Any-Order Markov Chains
Chanakya Ekbote, Ashok Vardhan Makkuva, Marco Bondaschi et al.
Fast Rate Bounds for Multi-Task and Meta-Learning with Different Sample Sizes
Hossein Zakerinia, Christoph Lampert
Strategic Classification with Non-Linear Classifiers
Benyamin Trachtenberg, Nir Rosenfeld
From Holistic to Localized: Local Enhanced Adapters for Efficient Visual Instruction Fine-Tuning
Pengkun Jiao, Bin Zhu, Jingjing Chen et al.
R2C: Mapping Room to Chessboard to Unlock LLM As Low-Level Action Planner
Ziyi Bai, Hanxuan Li, Bin Fu et al.
Task-Optimized Convolutional Recurrent Networks Align with Tactile Processing in the Rodent Brain
Trinity Chung, Yuchen Shen, Nathan Kong et al.
A Semantic Knowledge Complementarity based Decoupling Framework for Semi-supervised Class-imbalanced Medical Image Segmentation
Zheng Zhang, Guanchun Yin, Bo Zhang et al.
Probing Neural Combinatorial Optimization Models
Zhiqin Zhang, Yining Ma, Zhiguang Cao et al.
On the Empirical Power of Goodness-of-Fit Tests in Watermark Detection
Weiqing He, Xiang Li, Tianqi Shang et al.
Unifying Symbolic Music Arrangement: Track-Aware Reconstruction and Structured Tokenization
Longshen Ou, Jingwei Zhao, Ziyu Wang et al.
Seeing the Unseen: A Semantic Alignment and Context-Aware Prompt Framework for Open-Vocabulary Camouflaged Object Segmentation
Peng Ren, Tian Bai, Jing Sun et al.
VolleyBots: A Testbed for Multi-Drone Volleyball Game Combining Motion Control and Strategic Play
Zelai Xu, Ruize Zhang, Chao Yu et al.
Optimal community detection in dense bipartite graphs
Julien Chhor, Parker Knight
Fast MRI for All: Bridging Access Gaps by Training without Raw Data
Yasar Utku Alcalar, Merve Gulle, Mehmet Akcakaya
Towards Prospective Medical Image Reconstruction via Knowledge-Informed Dynamic Optimal Transport
Taoran Zheng, Yan Yang, Xing Li et al.
Mitigating the Privacy–Utility Trade-off in Decentralized Federated Learning via f-Differential Privacy
Xiang Li, Chendi Wang, Buxin Su et al.
FSboard: Over 3 Million Characters of ASL Fingerspelling Collected via Smartphones
Manfred Georg, Garrett Tanzer, Esha Uboweja et al.
Sketchy Bounding-box Supervision for 3D Instance Segmentation
qian deng, Le Hui, Jin Xie et al.
Robust Distortion-Free Watermark for Autoregressive Audio Generation Models
Yihan Wu, Georgios Milis, Ruibo Chen et al.
RASP: Revisiting 3D Anamorphic Art for Shadow-Guided Packing of Irregular Objects
Soumyaratna Debnath, Ashish Tiwari, Kaustubh Sadekar et al.
Opinion Maximization in Social Networks by Modifying Internal Opinions
Gengyu Wang, Runze Zhang, Zhongzhi Zhang
Cycle-Sync: Robust Global Camera Pose Estimation through Enhanced Cycle-Consistent Synchronization
Shaohan Li, Yunpeng Shi, Gilad Lerman
Spike-timing-dependent Hebbian learning as noisy gradient descent
Niklas Dexheimer, Sascha Gaudlitz, Johannes Schmidt-Hieber
Sequentially Auditing Differential Privacy
Tomás González Lara, Mateo Dulce Rubio, Aaditya Ramdas et al.
Efficient Dynamic Scene Editing via 4D Gaussian-based Static-Dynamic Separation
Joohyun Kwon, Hanbyel Cho, Junmo Kim
Robust Ego-Exo Correspondence with Long-Term Memory
Yijun Hu, Bing Fan, Xin Gu et al.
The third pillar of causal analysis? A measurement perspective on causal representations
Dingling Yao, Shimeng Huang, Riccardo Cadei et al.
DynImg: Key Frames with Visual Prompts are Good Representation for Multi-Modal Video Understanding
Xiaoyi Bao, Chen-Wei Xie, Hao Tang et al.
Revisiting Audio-Visual Segmentation with Vision-Centric Transformer
Shaofei Huang, Rui Ling, Tianrui Hui et al.
Balancing Gradient and Hessian Queries in Non-Convex Optimization
Deeksha Adil, Brian Bullins, Aaron Sidford et al.
Visual Structures Help Visual Reasoning: Addressing the Binding Problem in LVLMs
Amirmohammad Izadi, Mohammadali Banayeeanzade, Fatemeh Askari et al.
How Many Domains Suffice for Domain Generalization? A Tight Characterization via the Domain Shattering Dimension
Cynthia Dwork, Lunjia Hu, Han Shao
Causal Climate Emulation with Bayesian Filtering
Sebastian H. M. Hickman, Ilija Trajković, Julia Kaltenborn et al.
CTRL-ALT-DECEIT Sabotage Evaluations for Automated AI R&D
Francis Ward, Teun van der Weij, Hanna Gábor et al.
Tight Bounds on the Distortion of Randomized and Deterministic Distributed Voting
Mohammad Abam, Davoud Kareshki, Marzieh Nilipour et al.
Long-tailed Recognition with Model Rebalancing
JIAAN LUO, Feng Hong, Qiang Hu et al.
Tighter CMI-Based Generalization Bounds via Stochastic Projection and Quantization
Milad Sefidgaran, Kimia Nadjahi, Abdellatif Zaidi
Empower Words: DualGround for Structured Phrase and Sentence-Level Temporal Grounding
Minseok Kang, Minhyeok Lee, Minjung Kim et al.
Unlocking the Potential of Unlabeled Data in Semi-Supervised Domain Generalization
Dongkwan Lee, Kyomin Hwang, Nojun Kwak
SolverLLM: Leveraging Test-Time Scaling for Optimization Problem via LLM-Guided Search
Dong Li, Xujiang Zhao, Linlin Yu et al.
Gompertz Linear Units: Leveraging Asymmetry for Enhanced Learning Dynamics
Indrashis Das, Mahmoud Safari, Steven Adriaensen et al.
Guiding Cross-Modal Representations with MLLM Priors via Preference Alignment
Pengfei Zhao, Rongbo Luan, Wei Zhang et al.
ShortListing Model: A Streamlined Simplex Diffusion for Discrete Variable Generation
Yuxuan Song, Zhe Zhang, Yu Pei et al.
MoME: Mixture of Matryoshka Experts for Audio-Visual Speech Recognition
Umberto Cappellazzo, Minsu Kim, Pingchuan Ma et al.
Meta-Learning Dynamic Center Distance: Hard Sample Mining for Learning with Noisy Labels
Chenyu Mu, Yijun Qu, Jiexi Yan et al.
Martingale Posterior Neural Networks for Fast Sequential Decision Making
Gerardo Duran-Martin, Leandro Sánchez-Betancourt, Alvaro Cartea et al.
Two is Better than One: Efficient Ensemble Defense for Robust and Compact Models
Yoojin Jung, Byung Cheol Song
Estimating cognitive biases with attention-aware inverse planning
Sounak Banerjee, Daphne Cornelisse, Deepak Gopinath et al.
MExD: An Expert-Infused Diffusion Model for Whole-Slide Image Classification
Jianwei Zhao, XIN LI, Fan Yang et al.
Towards Understanding Transformers in Learning Random Walks
Wei Shi, Yuan Cao
ClearSight: Human Vision-Inspired Solutions for Event-Based Motion Deblurring
Xiaopeng LIN, Yulong Huang, Hongwei Ren et al.
Hybrid Autoencoders for Tabular Data: Leveraging Model-Based Augmentation in Low-Label Settings
Erel Naor, Ofir Lindenbaum
Decentralized Dynamic Cooperation of Personalized Models for Federated Continual Learning
Danni Yang, Zhikang Chen, Sen Cui et al.
Value-Guided KV Compression for LLMs via Approximated CUR Decomposition
Ayan Sengupta, Siddhant Chaudhary, Tanmoy Chakraborty
SSVQ: Unleashing the Potential of Vector Quantization with Sign-Splitting
Shuaiting Li, Juncan Deng, Chengxuan Wang et al.
Adaptive Riemannian ADMM for Nonsmooth Optimization: Optimal Complexity without Smoothing
Kangkang Deng, Jiachen Jin, Jiang Hu et al.
Where and How to Perturb: On the Design of Perturbation Guidance in Diffusion and Flow Models
Donghoon Ahn, Jiwon Kang, Sanghyun Lee et al.
Taxonomy of reduction matrices for Graph Coarsening
Antonin Joly, Nicolas Keriven, Aline Roumy
Beyond Token Probes: Hallucination Detection via Activation Tensors with ACT-ViT
Guy Bar-Shalom, Fabrizio Frasca, Yaniv Galron et al.
Homogeneous Dynamics Space for Heterogeneous Humans
Xinpeng Liu, Junxuan Liang, Chenshuo Zhang et al.
Towards Unsupervised Training of Matching-based Graph Edit Distance Solver via Preference-aware GAN
Wei Huang, Hanchen Wang, Dong Wen et al.
CF3: Compact and Fast 3D Feature Fields
Hyunjoon Lee, Joonkyu Min, Jaesik Park
VideoMiner: Iteratively Grounding Key Frames of Hour-Long Videos via Tree-based Group Relative Policy Optimization
Xinye Cao, Hongcan Guo, Jiawen Qian et al.
Planning and Learning in Average Risk-aware MDPs
Weikai Wang, Erick Delage
UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions
Siyuan Yao, Rui Zhu, Ziqi Wang et al.
Attraction Diminishing and Distributing for Few-Shot Class-Incremental Learning
Li-Jun Zhao, Zhen-Duo Chen, Yongxin Wang et al.
Pretraining a Shared Q-Network for Data-Efficient Offline Reinforcement Learning
Jongchan Park, Mingyu Park, Donghwan Lee
GeoAvatar: Adaptive Geometrical Gaussian Splatting for 3D Head Avatar
SeungJun Moon, Hah Min Lew, Seungeun Lee et al.
Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video
Xiao Li, Qi Chen, Xiulian Peng et al.
Fast Training of Large Kernel Models with Delayed Projections
Amirhesam Abedsoltan, Siyuan Ma, Parthe Pandit et al.
Leveraging Importance Sampling to Detach Alignment Modules from Large Language Models
Yi Liu, Dianqing Liu, Mingye Zhu et al.
Tiling artifacts and trade-offs of feature normalization in the segmentation of large biological images
Elena Buglakova, Anwai Archit, Edoardo D'Imprima et al.
Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control
Seongmin Park, Hyungmin Kim, Sangwoo kim et al.
Differentiable extensions with rounding guarantees for combinatorial optimization over permutations
Robert (Riley) Nerem, Zhishang Luo, Akbar Rafiey et al.
UniSTD: Towards Unified Spatio-Temporal Learning across Diverse Disciplines
Chen Tang, Xinzhu Ma, Encheng Su et al.
DeepShield: Fortifying Deepfake Video Detection with Local and Global Forgery Analysis
Yinqi Cai, Jichang Li, Zhaolun Li et al.
Are Greedy Task Orderings Better Than Random in Continual Linear Regression?
Matan Tsipory, Ran Levinstein, Itay Evron et al.
Group-wise Scaling and Orthogonal Decomposition for Domain-Invariant Feature Extraction in Face Anti-Spoofing
Seungjin Jung, Kanghee Lee, Yonghyun Jeong et al.
FakeRadar: Probing Forgery Outliers to Detect Unknown Deepfake Videos
Zhaolun Li, Jichang Li, Yinqi Cai et al.
StrandHead: Text to Hair-Disentangled 3D Head Avatars Using Human-Centric Priors
Xiaokun Sun, Zeyu Cai, Ying Tai et al.
Revisiting Agnostic Boosting
Arthur da Cunha, Mikael Møller Høgsgaard, Andrea Paudice et al.
SSTAG: Structure-Aware Self-Supervised Learning Method for Text-Attributed Graphs
Ruyue Liu, Rong Yin, Xiangzhen Bo et al.
T2Bs: Text-to-Character Blendshapes via Video Generation
Jiahao Luo, Chaoyang Wang, Michael Vasilkovsky et al.
ProGait: A Multi-Purpose Video Dataset and Benchmark for Transfemoral Prosthesis Users
Xiangyu Yin, Boyuan Yang, Weichen Liu et al.
When Less Language is More: Language-Reasoning Disentanglement Makes LLMs Better Multilingual Reasoners
Weixiang Zhao, Jiahe Guo, Yang Deng et al.
LawDIS: Language-Window-based Controllable Dichotomous Image Segmentation
Xinyu Yan, Meijun Sun, Ge-Peng Ji et al.
Neural Attention Search
Difan Deng, Marius Lindauer
DuoCLR: Dual-Surrogate Contrastive Learning for Skeleton-based Human Action Segmentation
Haitao Tian
Class-wise Balancing Data Replay for Federated Class-Incremental Learning
Zhuang Qi, Ying-Peng Tang, Lei Meng et al.
Occlusion-robust Stylization for Drawing-based 3D Animation
Sunjae Yoon, Gwanhyeong Koo, Younghwan Lee et al.
PARC: A Quantitative Framework Uncovering the Symmetries within Vision Language Models
Jenny Schmalfuss, Nadine Chang, Vibashan VS et al.
How Would It Sound? Material-Controlled Multimodal Acoustic Profile Generation for Indoor Scenes
Mahnoor Saad, Ziad Al-Halah
HazeFlow: Revisit Haze Physical Model as ODE and Non-Homogeneous Haze Generation for Real-World Dehazing
Junseong Shin, Seungwoo Chung, Yunjeong Yang et al.
Concentration and excess risk bounds for imbalanced classification with synthetic oversampling
Touqeer Ahmad, Mohammadreza Mousavi Kalan, François Portier et al.
Projection-based Lyapunov method for fully heterogeneous weakly-coupled MDPs
Xiangcheng Zhang, Yige Hong, Weina Wang
IM-LUT: Interpolation Mixing Look-Up Tables for Image Super-Resolution
Sejin Park, Sangmin Lee, Kyong Hwan Jin et al.
Towards Efficient General Feature Prediction in Masked Skeleton Modeling
Shengkai Sun, Zefan Zhang, Jianfeng Dong et al.
NoiseController: Towards Consistent Multi-view Video Generation via Noise Decomposition and Collaboration
Haotian Dong, Xin WANG, Di Lin et al.
FED-PsyAU: Privacy-Preserving Micro-Expression Recognition via Psychological AU Coordination and Dynamic Facial Motion Modeling
Jingting Li, Yu Qian, Lin Zhao et al.
PUMPS: Skeleton-Agnostic Point-based Universal Motion Pre-Training for Synthesis in Human Motion Tasks
Clinton A Mo, Kun Hu, Chengjiang Long et al.
VideoSPatS: Video SPatiotemporal Splines for Disentangled Occlusion, Appearance and Motion Modeling and Editing
Juan Luis Gonzalez Bello, Xu Yao, Alex Whelan et al.
Towards Natural Language-Based Document Image Retrieval: New Dataset and Benchmark
Hao Guo, Xugong Qin, Jun Jie Ou Yang et al.
Dual Reciprocal Learning of Language-based Human Motion Understanding and Generation
CHEN LIANG, Zhicheng Shi, Wenguan Wang et al.
DISTA-Net: Dynamic Closely-Spaced Infrared Small Target Unmixing
Shengdong Han, Shangdong Yang, Yuxuan Li et al.
The Quest for Universal Master Key Filters in DS-CNNs
Zahra Babaiee, Peyman M. Kiasari, Daniela Rus et al.
ASCENT: Annotation-free Self-supervised Contrastive Embeddings for 3D Neuron Tracking in Fluorescence Microscopy
Haejun Han, Hang Lu
VSRM: A Robust Mamba-Based Framework for Video Super-Resolution
Phu Tran Dinh, Hung Dao, Daeyoung Kim
AnimalClue: Recognizing Animals by their Traces
Risa Shinoda, Nakamasa Inoue, Iro Laina et al.
Skeleton Motion Words for Unsupervised Skeleton-based Temporal Action Segmentation
Uzay Gökay, Federico Spurio, Dominik Bach et al.
SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models
Pingchuan Ma, Xiaopei Yang, Ming Gui et al.
Reinventing Multi-Agent Collaboration through Gaussian-Image Synergy in Diffusion Policies
Ziye Wang, Li Kang, Yiran Qin et al.
Hipandas: Hyperspectral Image Joint Denoising and Super-Resolution by Image Fusion with the Panchromatic Image
Shuang Xu, Zixiang Zhao, Haowen Bai et al.
EASEMVC:Efficient Dual Selection Mechanism for Deep Multi-View Clustering
Baili Xiao, Zhibin Dong, KE LIANG et al.
ForCenNet: Foreground-Centric Network for Document Image Rectification
Peng Cai, liqiang liqiang, Kaicheng Yang et al.
Uncertainty-Aware Multi-Objective Reinforcement Learning-Guided Diffusion Models for 3D De Novo Molecular Design
Lianghong Chen, Dongkyu Kim, Mike Domaratzki et al.
CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation
Yi Liu, Shengqian Li, Zuzeng Lin et al.
ReME: A Data-Centric Framework for Training-Free Open-Vocabulary Segmentation
Xiwei Xuan, Ziquan Deng, Kwan-Liu Ma
ModalTune: Fine-Tuning Slide-Level Foundation Models with Multi-Modal Information for Multi-task Learning in Digital Pathology
Vishwesh Ramanathan, Tony Xu, Pushpak Pati et al.
PCR-GS: COLMAP-Free 3D Gaussian Splatting via Pose Co-Regularizations
YU WEI, Jiahui Zhang, Xiaoqin Zhang et al.
Learning Intractable Multimodal Policies with Reparameterization and Diversity Regularization
Ziqi Wang, Jiashun Liu, Ling Pan
Generating, Fast and Slow: Scalable Parallel Video Generation with Video Interface Networks
Bhishma Dedhia, David Bourgin, Krishna Kumar Singh et al.
Identifying Macro Causal Effects in C-DMGs over DMGs
Simon Ferreira, Charles Assaad
Text Embedding Knows How to Quantize Text-Guided Diffusion Models
Hongjae Lee, Myungjun Son, Dongjea Kang et al.
Open-Vocabulary HOI Detection with Interaction-aware Prompt and Concept Calibration
Ting Lei, Shaofeng Yin, Qingchao Chen et al.
Robust Low-light Scene Restoration via Illumination Transition
Ze Li, Feng Zhang, Xiatian Zhu et al.
Dynamical modeling of nonlinear latent factors in multiscale neural activity with real-time inference
Eray Erturk, Maryam Shanechi
Event-Driven Storytelling with Multiple Lifelike Humans in a 3D Scene
Donggeun Lim, Jinseok Bae, Inwoo Hwang et al.
Leveraging robust optimization for llm alignment under distribution shifts
Mingye Zhu, Yi Liu, Zheren Fu et al.
Relaxing partition admissibility in Cluster-DAGs: a causal calculus with arbitrary variable clustering
Clément Yvernes, Emilie Devijver, Adèle Ribeiro et al.
TRACE: Contrastive learning for multi-trial time series data in neuroscience
Lisa Schmors, Dominic Gonschorek, Jan Niklas Böhm et al.
SegmentDreamer: Towards High-fidelity Text-to-3D Synthesis with Segmented Consistency Trajectory Distillation
Jiahao Zhu, Zixuan Chen, Guangcong Wang et al.
Membership Inference Attacks with False Discovery Rate Control
Chenxu Zhao, Wei Qian, Aobo Chen et al.
Perturbation Bounds for Low-Rank Inverse Approximations under Noise
Phuc Tran, Nisheeth K. Vishnoi
VLMs have Tunnel Vision: Evaluating Nonlocal Visual Reasoning in Leading VLMs
Shmuel Berman, Jia Deng
IMG: Calibrating Diffusion Models via Implicit Multimodal Guidance
Jiayi Guo, Chuanhao Yan, Xingqian Xu et al.
Graph Diffusion that can Insert and Delete
Matteo Ninniri, Marco Podda, Davide Bacciu
Outlier-Aware Post-Training Quantization for Image Super-Resolution
Hailing Wang, Jianglin Lu, Yitian Zhang et al.
Modeling Human Gaze Behavior with Diffusion Models for Unified Scanpath Prediction
Giuseppe Cartella, Vittorio Cuculo, Alessandro D'Amelio et al.
MeshPad: Interactive Sketch-Conditioned Artist-Reminiscent Mesh Generation and Editing
Haoxuan Li, Ziya Erkoç, Lei Li et al.
PLADIS: Pushing the Limits of Attention in Diffusion Models at Inference Time by Leveraging Sparsity
Kwanyoung Kim, Byeongsu Sim
PrimHOI: Compositional Human-Object Interaction via Reusable Primitives
Kai Jia, Tengyu Liu, Mingtao Pei et al.
D3QE: Learning Discrete Distribution Discrepancy-aware Quantization Error for Autoregressive-Generated Image Detection
Yanran Zhang, Bingyao Yu, Yu Zheng et al.
Blind Video Super-Resolution based on Implicit Kernels
Qiang Zhu, Yuxuan Jiang, Shuyuan Zhu et al.
OmniDiff: A Comprehensive Benchmark for Fine-grained Image Difference Captioning
Yuan Liu, Saihui Hou, Saijie Hou et al.
Referring Expression Comprehension for Small Objects
Kanoko Goto, Takumi Hirose, Mahiro Ukai et al.
Link-based Contrastive Learning for One-Shot Unsupervised Domain Adaptation
Yue Zhang, Mingyue Bin, Yuyang Zhang et al.
PLMP - Point-Line Minimal Problems for Projective SfM
Kim Kiehn, Albin Ahlbäck, Kathlén Kohn
HOI-Dyn: Learning Interaction Dynamics for Human-Object Motion Diffusion
Lin Wu, Zhixiang Chen, Jianglin Lan
PatchScaler: An Efficient Patch-Independent Diffusion Model for Image Super-Resolution
Yong Liu, Hang Dong, Jinshan Pan et al.
Balancing Task-invariant Interaction and Task-specific Adaptation for Unified Image Fusion
Xingyu Hu, Junjun Jiang, Chenyang Wang et al.
SpiLiFormer: Enhancing Spiking Transformers with Lateral Inhibition
Zeqi Zheng, Yanchen Huang, Yingchao Yu et al.
TITAN-Guide: Taming Inference-Time Alignment for Guided Text-to-Video Diffusion Models
Christian Simon, Masato Ishii, Akio Hayakawa et al.
CompSlider: Compositional Slider for Disentangled Multiple-Attribute Image Generation
Zixin Zhu, Kevin Duarte, Mamshad Nayeem Rizve et al.
Deep Value Benchmark: Measuring Whether Models Generalize Deep values or Shallow Preferences
Joshua Ashkinaze, Hua Shen, Saipranav Avula et al.
Augmented and Softened Matching for Unsupervised Visible-Infrared Person Re-Identification
Zhiqi Pang, Chunyu Wang, Lingling Zhao et al.
Spurious-Aware Prototype Refinement for Reliable Out-of-Distribution Detection
Reihaneh Zohrabi, Hosein Hasani, Mahdieh Soleymani et al.
Feature Distillation is the Better Choice for Model-Heterogeneous Federated Learning
Yichen Li, Xiuying Wang, Wenchao Xu et al.
Revisiting Generative Replay for Class Incremental Object Detection
Shizhou Zhang, Xueqiang Lv, Yinghui Xing et al.
DISCO: Disentangled Communication Steering for Large Language Models
Max Torop, Aria Masoomi, Masih Eskandar et al.
Latent Swap Joint Diffusion for 2D Long-Form Latent Generation
Yusheng Dai, Chenxi Wang, Chang Li et al.
Are Large Reasoning Models Good Translation Evaluators? Analysis and Performance Boost
Runzhe Zhan, Zhihong Huang, Xinyi Yang et al.
FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models
Yuxuan Wang, Tianwei Cao, Huayu Zhang et al.
Restoring Pruned Large Language Models via Lost Component Compensation
Zijian Feng, Hanzhang Zhou, Zixiao Zhu et al.
How Many Tokens Do 3D Point Cloud Transformer Architectures Really Need?
Tuan Tran Anh, Duy M. H. Nguyen, Hoai-Chau Tran et al.
ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration
Andrea Conti, Matteo Poggi, Valerio Cambareri et al.
HypDAE: Hyperbolic Diffusion Autoencoders for Hierarchical Few-shot Image Generation
Lingxiao Li, Kaixuan Fan, Boqing Gong et al.
Achieving More with Less: Additive Prompt Tuning for Rehearsal-Free Class-Incremental Learning
Haoran Chen, Ping Wang, Zihan Zhou et al.
Recursive Inference Scaling: A Winning Path to Scalable Inference in Language and Multimodal Systems
Ibrahim Alabdulmohsin, Xiaohua Zhai
Geometry-Aware Edge Pooling for Graph Neural Networks
Katharina Limbeck, Lydia Mezrag, Guy Wolf et al.
V.I.P. : Iterative Online Preference Distillation for Efficient Video Diffusion Models
Jisoo Kim, Wooseok Seo, Junwan Kim et al.
From Euler to AI: Unifying Formulas for Mathematical Constants
Tomer Raz, Michael Shalyt, Elyasheev Leibtag et al.
Vulnerability-Aware Spatio-Temporal Learning for Generalizable Deepfake Video Detection
Dat NGUYEN, Marcella Astrid, Anis Kacem et al.
Targeted Forgetting of Image Subgroups in CLIP Models
Zeliang Zhang, Gaowen Liu, Charles Fleming et al.