Most Cited 2024 "facial action unit detection" Papers
12,324 papers found • Page 28 of 62
Conference
Improving Neural Additive Models with Bayesian Principles
Kouroche Bouchiat, Alexander Immer, Hugo Yèche et al.
How to Train the Teacher Model for Effective Knowledge Distillation
Shayan Mohajer Hamidi, Xizhen Deng, Renhao Tan et al.
Approval-Based Committee Voting in Practice: A Case Study of (over-)Representation in the Polkadot Blockchain
Niclas Boehmer, Markus Brill, Alfonso Cevallos et al.
Enhancing Small Medical Learners with Privacy-preserving Contextual Prompting
xinlu zhang, Shiyang Li, Xianjun Yang et al.
Real-World Mobile Image Denoising Dataset with Efficient Baselines
Roman Flepp, Andrey Ignatov, Radu Timofte et al.
FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data
Zikai Xiao, Zihan Chen, Liyinglan Liu et al.
Reward-Free Curricula for Training Robust World Models
Marc Rigter, Minqi Jiang, Ingmar Posner
EvTexture: Event-driven Texture Enhancement for Video Super-Resolution
Dachun Kai, Jiayao Lu, Yueyi Zhang et al.
SocialCVAE: Predicting Pedestrian Trajectory via Interaction Conditioned Latents
Wei Xiang, Haoteng YIN, He Wang et al.
Towards More Unified In-context Visual Understanding
Dianmo Sheng, Dongdong Chen, Zhentao Tan et al.
Efficient Conditional Diffusion Model with Probability Flow Sampling for Image Super-resolution
Yutao Yuan, Chun Yuan
Align and Aggregate: Compositional Reasoning with Video Alignment and Answer Aggregation for Video Question-Answering
Zhaohe Liao, Jiangtong Li, Li Niu et al.
MovingParts: Motion-based 3D Part Discovery in Dynamic Radiance Field
Kaizhi Yang, Xiaoshuai Zhang, Zhiao Huang et al.
PRES: Toward Scalable Memory-Based Dynamic Graph Neural Networks
Junwei Su, Difan Zou, Chuan Wu
Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization
Jian Liang, Sheng, Zhengbo Wang et al.
Language-Guided Transformer for Federated Multi-Label Classification
I-Jieh Liu, Ci-Siang Lin, Fu-En Yang et al.
Federated Online Adaptation for Deep Stereo
Matteo Poggi, Fabio Tosi
CrossGLG: LLM Guides One-shot Skeleton-based 3D Action Recognition in a Cross-level Manner
Tingbing Yan, Wenzheng Zeng, Yang Xiao et al.
PAC Prediction Sets Under Label Shift
Wenwen Si, Sangdon Park, Insup Lee et al.
Retro-fallback: retrosynthetic planning in an uncertain world
Austin Tripp, Krzysztof Maziarz, Sarah Lewis et al.
CHAI: Clustered Head Attention for Efficient LLM Inference
Saurabh Agarwal, Bilge Acun, Basil Hosmer et al.
Geometrically-driven Aggregation for Zero-shot 3D Point Cloud Understanding
Guofeng Mei, Luigi Riz, Yiming Wang et al.
OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift
Lin Li, Yifei Wang, Chawin Sitawarin et al.
FedBAT: Communication-Efficient Federated Learning via Learnable Binarization
Shiwei Li, Wenchao Xu, Haozhao Wang et al.
Multi-Sentence Grounding for Long-term Instructional Video
Zeqian Li, QIRUI CHEN, Tengda Han et al.
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel
Xuan Li, Zhanke Zhou, Jiangchao Yao et al.
D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations
Pengyue Jia, Yichao Wang, Shanru LIN et al.
RNb-NeuS: Reflectance and Normal-based Multi-View 3D Reconstruction
Baptiste Brument, Robin Bruneau, Yvain Queau et al.
Task-Disruptive Background Suppression for Few-Shot Segmentation
Suho Park, SuBeen Lee, Sangeek Hyun et al.
Learning Latent Dynamic Robust Representations for World Models
Ruixiang Sun, Hongyu Zang, Xin Li et al.
Mitigating Noisy Correspondence by Geometrical Structure Consistency Learning
Zihua Zhao, Mengxi Chen, Tianjie Dai et al.
LabelDistill: Label-guided Cross-modal Knowledge Distillation for Camera-based 3D Object Detection
Sanmin Kim, Youngseok Kim, Sihwan Hwang et al.
Neural Collapse in Multi-label Learning with Pick-all-label Loss
Pengyu Li, Xiao Li, Yutong Wang et al.
Optimal Sample Complexity of Contrastive Learning
Noga Alon, Dmitrii Avdiukhin, Dor Elboim et al.
DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection
Zhi Zhou, Ming Yang, Jiang-Xin Shi et al.
SoundingActions: Learning How Actions Sound from Narrated Egocentric Videos
Changan Chen, Kumar Ashutosh, Rohit Girdhar et al.
Adapting Fine-Grained Cross-View Localization to Areas without Fine Ground Truth
Zimin Xia, Yujiao Shi, HONGDONG LI et al.
Decouple Content and Motion for Conditional Image-to-Video Generation
Cuifeng Shen, Yulu Gan, Chen Chen et al.
SNeRV: Spectra-preserving Neural Representation for Video
Jina Kim, Jihoo Lee, Jewon Kang
Stable Anisotropic Regularization
William Rudman, Carsten Eickhoff
EVEREST: Efficient Masked Video Autoencoder by Removing Redundant Spatiotemporal Tokens
Sunil Hwang, Jaehong Yoon, Youngwan Lee et al.
Generalized Planning for the Abstraction and Reasoning Corpus
Chao Lei, Nir Lipovetzky, Krista A. Ehinger
Bring Event into RGB and LiDAR: Hierarchical Visual-Motion Fusion for Scene Flow
Hanyu Zhou, Yi Chang, Zhiwei Shi
Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics
Luca Grillotti, Maxence Faldor, Borja G. León et al.
Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks
Chenyang Qiu, Guoshun Nan, Tianyu Xiong et al.
DAFA: Distance-Aware Fair Adversarial Training
Hyungyu Lee, Saehyung Lee, Hyemi Jang et al.
Conformalized Adaptive Forecasting of Heterogeneous Trajectories
Yanfei Zhou, Lars Lindemann, Matteo Sesia
Backdoor Contrastive Learning via Bi-level Trigger Optimization
Weiyu Sun, Xinyu Zhang, Hao LU et al.
DiffFAS: Face Anti-Spoofing via Generative Diffusion Models
Xinxu Ge, Xin Liu, Zitong Yu et al.
S3O: A Dual-Phase Approach for Reconstructing Dynamic Shape and Skeleton of Articulated Objects from Single Monocular Video
Hao Zhang, Fang Li, Samyak Rawlekar et al.
EquiAV: Leveraging Equivariance for Audio-Visual Contrastive Learning
Jongsuk Kim, Hyeongkeun Lee, Kyeongha Rho et al.
Physical-Based Event Camera Simulator
Haiqian Han, Jiacheng Lyu, Jianing Li et al.
Learning Dynamic Tetrahedra for High-Quality Talking Head Synthesis
Zicheng Zhang, RUOBING ZHENG, Bonan Li et al.
Replicable Learning of Large-Margin Halfspaces
Alkis Kalavasis, Amin Karbasi, Kasper Green Larsen et al.
Discounted Adaptive Online Learning: Towards Better Regularization
Zhiyu Zhang, David Bombara, Heng Yang
DUPLEX: Dual GAT for Complex Embedding of Directed Graphs
Zhaoru Ke, Hang Yu, Jianguo Li et al.
Robustly Learning Single-Index Models via Alignment Sharpness
Nikos Zarifis, Puqian Wang, Ilias Diakonikolas et al.
FreeCompose: Generic Zero-Shot Image Composition with Diffusion Prior
Zhekai Chen, Wen Wang, Zhen Yang et al.
11293 Cross-Class Feature Augmentation for Class Incremental Learning
Taehoon Kim, JaeYoo Park, Bohyung Han
Illusory Attacks: Information-theoretic detectability matters in adversarial attacks
Tim Franzmeyer, Stephen McAleer, Joao F. Henriques et al.
RGNet: A Unified Clip Retrieval and Grounding Network for Long Videos
Tanveer Hannan, Mohaiminul Islam, Thomas Seidl et al.
Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability Guarantees
Weijia Zhang, Chun Kai Ling, Xuanhui Zhang
SEAL: A Framework for Systematic Evaluation of Real-World Super-Resolution
Wenlong Zhang, Xiaohui Li, Xiangyu Chen et al.
UpFusion: Novel View Diffusion from Unposed Sparse View Observations
Bharath Raj Nagoor Kani, Hsin-Ying Lee, Sergey Tulyakov et al.
VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models
Ziyi Yin, Muchao Ye, Tianrong Zhang et al.
Retrieval is Accurate Generation
Bowen Cao, Deng Cai, Leyang Cui et al.
Discriminative Sample-Guided and Parameter-Efficient Feature Space Adaptation for Cross-Domain Few-Shot Learning
Rashindrie Perera, Saman Halgamuge
USB-NeRF: Unrolling Shutter Bundle Adjusted Neural Radiance Fields
Moyang Li, Peng Wang, Lingzhe Zhao et al.
Exploiting Code Symmetries for Learning Program Semantics
Kexin Pei, Weichen Li, Qirui Jin et al.
Balancing Similarity and Complementarity for Federated Learning
Kunda Yan, Sen Cui, Abudukelimu Wuerkaixi et al.
A Space Group Symmetry Informed Network for O(3) Equivariant Crystal Tensor Prediction
Keqiang Yan, Alexandra Saxton, Xiaofeng Qian et al.
QLABGrad: A Hyperparameter-Free and Convergence-Guaranteed Scheme for Deep Learning
Fang-Xiang Wu, Minghan Fu
Linear Log-Normal Attention with Unbiased Concentration
Yury Nahshan, Joseph Kampeas, Emir Haleva
Real Appearance Modeling for More General Deepfake Detection
Jiahe Tian, Yu Cai, Xi Wang et al.
PanoFree: Tuning-Free Holistic Multi-view Image Generation with Cross-view Self-Guidance
Aoming Liu, Zhong Li, Zhang Chen et al.
CAVEN: An Embodied Conversational Agent for Efficient Audio-Visual Navigation in Noisy Environments
Xiulong Liu, Sudipta Paul, Moitreya Chatterjee et al.
Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation
Zhuohang Dang, Minnan Luo, Chengyou Jia et al.
Realistic Human Motion Generation with Cross-Diffusion Models
Zeping Ren, Shaoli Huang, Xiu Li
Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble
Chenhui Xu, Fuxun Yu, Zirui Xu et al.
Unifying Feature and Cost Aggregation with Transformers for Semantic and Visual Correspondence
Sunghwan Hong, Seokju Cho, Seungryong Kim et al.
Benchmarking Spurious Bias in Few-Shot Image Classifiers
Guangtao Zheng, Wenqian Ye, Aidong Zhang
Temporally Consistent Stereo Matching
Jiaxi Zeng, Chengtang Yao, Yuwei Wu et al.
Seeing the Unseen: Visual Common Sense for Semantic Placement
Ram Ramrakhya, Aniruddha Kembhavi, Dhruv Batra et al.
CarFormer: Self-Driving with Learned Object-Centric Representations
Shadi Hamdan, Fatma Guney
OPEN: Object-wise Position Embedding for Multi-view 3D Object Detection
Jinghua Hou, Tong Wang, Xiaoqing Ye et al.
P$^2$OT: Progressive Partial Optimal Transport for Deep Imbalanced Clustering
Chuyu Zhang, Hui Ren, Xuming He
Rethinking Mesh Watermark: Towards Highly Robust and Adaptable Deep 3D Mesh Watermarking
Xingyu Zhu, Guanhui Ye, Xiapu Luo et al.
Deciphering the Role of Representation Disentanglement: Investigating Compositional Generalization in CLIP Models
Reza Abbasi, Mohammad Rohban, Mahdieh Soleymani Baghshah
Mitigating Background Shift in Class-Incremental Semantic Segmentation
gilhan Park, WonJun Moon, SuBeen Lee et al.
DeTra: A Unified Model for Object Detection and Trajectory Forecasting
Sergio Casas, Ben T Agro, Jiageng Mao et al.
Puff-Net: Efficient Style Transfer with Pure Content and Style Feature Fusion Network
Sizhe Zheng, Pan Gao, Peng Zhou et al.
Learning Task-Aware Language-Image Representation for Class-Incremental Object Detection
Hongquan Zhang, Bin-Bin Gao, Yi Zeng et al.
Learning Video Context as Interleaved Multimodal Sequences
Qinghong Lin, Pengchuan Zhang, Difei Gao et al.
Total-Decom: Decomposed 3D Scene Reconstruction with Minimal Interaction
Xiaoyang Lyu, Chirui Chang, Peng Dai et al.
Generalizable Fourier Augmentation for Unsupervised Video Object Segmentation
Huihui Song, Tiankang Su, Yuhui Zheng et al.
Classes Are Not Equal: An Empirical Study on Image Recognition Fairness
Jiequan Cui, Beier Zhu, Xin Wen et al.
AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models
Jiachun Pan, Jiachun Pan, Jun Hao Liew et al.
Emergent Equivariance in Deep Ensembles
Jan Gerken, Pan Kessel
Instance Tracking in 3D Scenes from Egocentric Videos
Yunhan Zhao, Haoyu Ma, Shu Kong et al.
Tripod: Three Complementary Inductive Biases for Disentangled Representation Learning
Kyle Hsu, Jubayer Ibn Hamid, Kaylee Burns et al.
Learning Useful Representations of Recurrent Neural Network Weight Matrices
Vincent Herrmann, Francesco Faccio, Jürgen Schmidhuber
Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting
Muyao Wang, Wenchao Chen, Bo Chen
Bidirectional Temporal Plan Graph: Enabling Switchable Passing Orders for More Efficient Multi-Agent Path Finding Plan Execution
Yifan Su, Rishi Veerapaneni, Jiaoyang Li
Learning Efficient and Robust Multi-Agent Communication via Graph Information Bottleneck
Shifei Ding, Wei Du, Ling Ding et al.
PointInfinity: Resolution-Invariant Point Diffusion Models
Zixuan Huang, Justin Johnson, Shoubhik Debnath et al.
Improving Bird's Eye View Semantic Segmentation by Task Decomposition
Tianhao Zhao, Yongcan Chen, Yu Wu et al.
Advancing the Lower Bounds: an Accelerated, Stochastic, Second-order Method with Optimal Adaptation to Inexactness
Artem Agafonov, Dmitry Kamzolov, Alexander Gasnikov et al.
No More Shortcuts: Realizing the Potential of Temporal Self-Supervision
Ishan Rajendrakumar Dave, Simon Jenni, Mubarak Shah
Hyperbolic Graph Diffusion Model
Lingfeng Wen, Xuan Tang, Mingjie Ouyang et al.
Improving Interpretation Faithfulness for Vision Transformers
Lijie Hu, Yixin Liu, Ninghao Liu et al.
UCIP: A Universal Framework for Compressed Image Super-Resolution using Dynamic Prompt
Xin Li, Bingchen Li, Yeying Jin et al.
Dense Hand-Object(HO) GraspNet with Full Grasping Taxonomy and Dynamics
Woojin Cho, Jihyun Lee, Minjae Yi et al.
Another Way to the Top: Exploit Contextual Clustering in Learned Image Coding
Yichi Zhang, Zhihao Duan, Ming Lu et al.
Defense Against Adversarial Attacks on No-Reference Image Quality Models with Gradient Norm Regularization
Yujia Liu, Chenxi Yang, Dingquan Li et al.
Variance Reduced Halpern Iteration for Finite-Sum Monotone Inclusions
Xufeng Cai, Ahmet Alacaoglu, Jelena Diakonikolas
∞-Brush: Controllable Large Image Synthesis with Diffusion Models in Infinite Dimensions
Minh Quan Le, Alexandros Graikos, Srikar Yellapragada et al.
DPA-Net: Structured 3D Abstraction from Sparse Views via Differentiable Primitive Assembly
Fenggen Yu, Yiming Qian, Xu Zhang et al.
Cauchy-Schwarz Divergence Information Bottleneck for Regression
Shujian Yu, Xi Yu, Sigurd Løkse et al.
3D-Aware Hypothesis & Verification for Generalizable Relative Object Pose Estimation
Chen Zhao, Tong Zhang, Mathieu Salzmann
GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data
Sascha Marton, Stefan Lüdtke, Christian Bartelt et al.
Learning to Pivot as a Smart Expert
Tianhao Liu, Shanwen Pu, Dongdong Ge et al.
D3T: Distinctive Dual-Domain Teacher Zigzagging Across RGB-Thermal Gap for Domain-Adaptive Object Detection
Dinh Phat Do, Taehoon Kim, JAEMIN NA et al.
Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models
Francesco Croce, Naman D. Singh, Matthias Hein
Accurate Retraining-free Pruning for Pretrained Encoder-based Language Models
Seungcheol Park, Hojun Choi, U Kang
CamoTeacher: Dual-Rotation Consistency Learning for Semi-Supervised Camouflaged Object Detection
Xunfa Lai, Zhiyu Yang, Jie Hu et al.
Data-efficient Large Vision Models through Sequential Autoregression
Zhiwei Hao, Jianyuan Guo, Chengcheng Wang et al.
Closed-Loop Unsupervised Representation Disentanglement with $\beta$-VAE Distillation and Diffusion Probabilistic Feedback
Xin Jin, Bohan Li, Baao Xie et al.
Explorative Inbetweening of Time and Space
Haiwen Feng, Zheng Ding, Zhihao Xia et al.
REST: Efficient and Accelerated EEG Seizure Analysis through Residual State Updates
Arshia Afzal, Grigorios Chrysos, Volkan Cevher et al.
BRIDGE: Bridging Gaps in Image Captioning Evaluation with Stronger Visual Cues
Sara Sarto, Marcella Cornia, Lorenzo Baraldi et al.
Bridging Vision and Language Spaces with Assignment Prediction
Jungin Park, Jiyoung Lee, Kwanghoon Sohn
Pareto Deep Long-Tailed Recognition: A Conflict-Averse Solution
Zhipeng Zhou, Liu Liu, Peilin Zhao et al.
Topological Neural Networks go Persistent, Equivariant, and Continuous
Yogesh Verma, Amauri Souza, Vikas Garg
Unleashing the Potential of the Semantic Latent Space in Diffusion Models for Image Dehazing
Zizheng Yang, Hu Yu, Bing Li et al.
Constrained Decoding for Cross-lingual Label Projection
Duong Le, Yang Chen, Alan Ritter et al.
Neurosymbolic Grounding for Compositional World Models
Atharva Sehgal, Arya Grayeli, Jennifer Sun et al.
Weakly Supervised Monocular 3D Detection with a Single-View Image
Xueying Jiang, Sheng Jin, Lewei Lu et al.
R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning
Mengyuan Chen, Junyu Gao, Changsheng Xu
Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks
Yixuan Weng, Minjun Zhu, Fei Xia et al.
Jointly Improving the Sample and Communication Complexities in Decentralized Stochastic Minimax Optimization
Xuan Zhang, Gabriel Mancino-Ball, Necdet Serhat Aybat et al.
Gear-NeRF: Free-Viewpoint Rendering and Tracking with Motion-aware Spatio-Temporal Sampling
Xinhang Liu, Yu-Wing Tai, Chi-Keung Tang et al.
Improving Group Robustness on Spurious Correlation Requires Preciser Group Inference
Yujin Han, Difan Zou
Explaining Graph Neural Networks via Structure-aware Interaction Index
Ngoc Bui, Trung Hieu Nguyen, Viet Anh Nguyen et al.
Phoneme Hallucinator: One-Shot Voice Conversion via Set Expansion
Siyuan Shan, Yang Li, Amartya Banerjee et al.
A Universal Class of Sharpness-Aware Minimization Algorithms
Behrooz Tahmasebi, Ashkan Soleymani, Dara Bahri et al.
Multi-modal Crowd Counting via a Broker Modality
Haoliang Meng, Xiaopeng Hong, Chenhao Wang et al.
The Lottery Ticket Hypothesis in Denoising: Towards Semantic-Driven Initialization
Jiafeng Mao, Xueting Wang, Kiyoharu Aizawa
Modeling and Driving Human Body Soundfields through Acoustic Primitives
Chao Huang, Dejan Markovic, Chenliang Xu et al.
A Plug-and-Play Image Registration Network
JUNHAO HU, Weijie Gan, Zhixin Sun et al.
Sparse is Enough in Fine-tuning Pre-trained Large Language Models
Weixi Song, Zuchao Li, Lefei Zhang et al.
Eclipse: Disambiguating Illumination and Materials using Unintended Shadows
Dor Verbin, Ben Mildenhall, Peter Hedman et al.
Action Detection via an Image Diffusion Process
Lin Geng Foo, Tianjiao Li, Hossein Rahmani et al.
COHO: Context-Sensitive City-Scale Hierarchical Urban Layout Generation
Liu He, Daniel Aliaga
Skeleton-based Group Activity Recognition via Spatial-Temporal Panoramic Graph
Zhengcen Li, Xinle Chang, Yueran Li et al.
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations
Yongyuan Liang, Yanchao Sun, Ruijie Zheng et al.
Image Content Generation with Causal Reasoning
Xiaochuan Li, Baoyu Fan, Run Zhang et al.
InterpreTabNet: Distilling Predictive Signals from Tabular Data by Salient Feature Interpretation
Jacob Si, Wendy Yusi Cheng, Michael Cooper et al.
Adaptive Discovering and Merging for Incremental Novel Class Discovery
Guangyao Chen, Peixi Peng, Yangru Huang et al.
MultiPhys: Multi-Person Physics-aware 3D Motion Estimation
Nicolás Ugrinovic, Boxiao Pan, Georgios Pavlakos et al.
Discriminative Probing and Tuning for Text-to-Image Generation
Leigang Qu, Wenjie Wang, Yongqi Li et al.
A Simple and Scalable Representation for Graph Generation
Yunhui Jang, Seul Lee, Sungsoo Ahn
Symbolic Regression Enhanced Decision Trees for Classification Tasks
Kei Sen Fong, Mehul Motani
S²MVTC: a Simple yet Efficient Scalable Multi-View Tensor Clustering
Zhen Long, Qiyuan Wang, Yazhou Ren et al.
Improving Robustness for Joint Optimization of Camera Pose and Decomposed Low-Rank Tensorial Radiance Fields
BOYU Chen, Wei-Chen Chiu, Yu-Lun Liu
Why Do Animals Need Shaping? A Theory of Task Composition and Curriculum Learning
Jin Hwa Lee, Stefano Mannelli, Andrew Saxe
Any-Stereo: Arbitrary Scale Disparity Estimation for Iterative Stereo Matching
Zhaohuai Liang, Changhe Li
Lewis's Signaling Game as beta-VAE For Natural Word Lengths and Segments
Ryo Ueda, TADAHIRO TANIGUCHI
Asymmetric Masked Distillation for Pre-Training Small Foundation Models
Zhiyu Zhao, Bingkun Huang, Sen Xing et al.
Self-Consistency Training for Density-Functional-Theory Hamiltonian Prediction
He Zhang, Chang Liu, wang et al.
Language-Informed Visual Concept Learning
Sharon Lee, Yunzhi Zhang, Shangzhe Wu et al.
Data-Efficient Multimodal Fusion on a Single GPU
Noël Vouitsis, Zhaoyan Liu, Satya Krishna Gorti et al.
Sparse and Structured Hopfield Networks
Saúl Santos, Vlad Niculae, Daniel McNamee et al.
RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural Representations
Jiajun He, Gergely Flamich, Zongyu Guo et al.
Pseudo-RIS: Distinctive Pseudo-supervision Generation for Referring Image Segmentation
Seonghoon Yu, Paul Hongsuck Seo, Jeany Son
Finding Lottery Tickets in Vision Models via Data-driven Spectral Foresight Pruning
Leonardo Iurada, Marco Ciccone, Tatiana Tommasi
Random Exploration in Bayesian Optimization: Order-Optimal Regret and Computational Efficiency
Sudeep Salgia, Sattar Vakili, Qing Zhao
Double-Layer Hybrid-Label Identification Feature Selection for Multi-View Multi-Label Learning
Pingting Hao, Kunpeng Liu, Wanfu Gao
Minimum-Norm Interpolation Under Covariate Shift
Neil Mallinar, Austin Zane, Spencer Frei et al.
Transformer as Linear Expansion of Learngene
Shiyu Xia, Miaosen Zhang, Xu Yang et al.
ZeroFlow: Scalable Scene Flow via Distillation
Kyle Vedder, Neehar Peri, Nathaniel Chodosh et al.
A Generalized Shuffle Framework for Privacy Amplification: Strengthening Privacy Guarantees and Enhancing Utility
Chen E, Yang Cao, Ge Yifei
Tackling the Singularities at the Endpoints of Time Intervals in Diffusion Models
Pengze Zhang, Hubery Yin, Chen Li et al.
OOSTraj: Out-of-Sight Trajectory Prediction With Vision-Positioning Denoising
Haichao Zhang, Yi Xu, Hongsheng Lu et al.
FocusMAE: Gallbladder Cancer Detection from Ultrasound Videos with Focused Masked Autoencoders
Soumen Basu, Mayuna Gupta, Chetan Madan et al.
Neural Implicit Morphing of Face Images
Guilherme Schardong, Tiago Novello, Hallison Paz et al.
Point2SSM: Learning Morphological Variations of Anatomies from Point Clouds
Jadie Adams, Shireen Elhabian
One Step Closer to Unbiased Aleatoric Uncertainty Estimation
Wang Zhang, Ziwen Martin Ma, Subhro Das et al.
PANDA: Expanded Width-Aware Message Passing Beyond Rewiring
Jeongwhan Choi, Sumin Parksumin, Hyowon Wi et al.
MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation
Linyan Yang, Lukas Hoyer, Mark Weber et al.
MGNet: Learning Correspondences via Multiple Graphs
Dai Luanyuan, Xiaoyu Du, Hanwang Zhang et al.
Mechanistic Neural Networks for Scientific Machine Learning
Adeel Pervez, Francesco Locatello, Efstratios Gavves
DemoCaricature: Democratising Caricature Generation with a Rough Sketch
Dar-Yen Chen, Ayan Kumar Bhunia, Subhadeep Koley et al.
Abstractors and relational cross-attention: An inductive bias for explicit relational reasoning in Transformers
Awni Altabaa, Taylor Webb, Jonathan Cohen et al.
STARC: A General Framework For Quantifying Differences Between Reward Functions
Joar Skalse, Lucy Farnik, Sumeet Motwani et al.
Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models
Thomas Zollo, Todd Morrill, Zhun Deng et al.
Improving Token-Based World Models with Parallel Observation Prediction
Lior Cohen, Kaixin Wang, Bingyi Kang et al.
Image Neural Field Diffusion Models
Yinbo Chen, Oliver Wang, Richard Zhang et al.
Efficient Integrators for Diffusion Generative Models
Kushagra Pandey, Maja Rudolph, Stephan Mandt
Data-Efficient Unsupervised Interpolation Without Any Intermediate Frame for 4D Medical Images
JungEun Kim, Hangyul Yoon, Geondo Park et al.