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08/24/2023
HR-Pro: Point-supervised Temporal Action Localization via Hierarchical Reliability Propagation
Point-supervised Temporal Action Localization (PSTAL) is an emerging res...
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08/18/2023
RLIPv2: Fast Scaling of Relational Language-Image Pre-training
Relational Language-Image Pre-training (RLIP) aims to align vision repre...
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08/12/2023
ModelScope Text-to-Video Technical Report
This paper introduces ModelScopeT2V, a text-to-video synthesis model tha...
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08/12/2023
Context-aware Event Forecasting via Graph Disentanglement
Event forecasting has been a demanding and challenging task throughout t...
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08/08/2023
Online Distillation-enhanced Multi-modal Transformer for Sequential Recommendation
Multi-modal recommendation systems, which integrate diverse types of inf...
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08/07/2023
Redundancy-aware Transformer for Video Question Answering
This paper identifies two kinds of redundancy in the current VideoQA par...
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08/01/2023
Adaptive Semantic Consistency for Cross-domain Few-shot Classification
Cross-domain few-shot classification (CD-FSC) aims to identify novel tar...
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07/22/2023
Discovering Spatio-Temporal Rationales for Video Question Answering
This paper strives to solve complex video question answering (VideoQA) w...
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06/05/2023
Discovering Dynamic Causal Space for DAG Structure Learning
Discovering causal structure from purely observational data (i.e., causa...
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06/03/2023
VideoComposer: Compositional Video Synthesis with Motion Controllability
The pursuit of controllability as a higher standard of visual content cr...
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04/06/2023
GIF: A General Graph Unlearning Strategy via Influence Function
With the greater emphasis on privacy and security in our society, the pr...
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04/06/2023
Robust, privacy-preserving, transparent, and auditable on-device blocklisting
With the accelerated adoption of end-to-end encryption, there is an oppo...
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04/03/2023
MoLo: Motion-augmented Long-short Contrastive Learning for Few-shot Action Recognition
Current state-of-the-art approaches for few-shot action recognition achi...
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03/06/2023
Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting
Under stringent model type and variable distribution assumptions, differ...
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03/06/2023
CLIP-guided Prototype Modulating for Few-shot Action Recognition
Learning from large-scale contrastive language-image pre-training like C...
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02/10/2023
Invariant Collaborative Filtering to Popularity Distribution Shift
Collaborative Filtering (CF) models, despite their great success, suffer...
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12/20/2022
Causal Inference for Knowledge Graph based Recommendation
Knowledge Graph (KG), as a side-information, tends to be utilized to sup...
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11/25/2022
MIAD: A Maintenance Inspection Dataset for Unsupervised Anomaly Detection
Visual anomaly detection plays a crucial role in not only manufacturing ...
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11/19/2022
Real-World Image Super Resolution via Unsupervised Bi-directional Cycle Domain Transfer Learning based Generative Adversarial Network
Deep Convolutional Neural Networks (DCNNs) have exhibited impressive per...
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11/18/2022
Semantic Encoder Guided Generative Adversarial Face Ultra-Resolution Network
Face super-resolution is a domain-specific image super-resolution, which...
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11/05/2022
Adversarial Causal Augmentation for Graph Covariate Shift
Out-of-distribution (OOD) generalization on graphs is drawing widespread...
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11/02/2022
Learning a Condensed Frame for Memory-Efficient Video Class-Incremental Learning
Recent incremental learning for action recognition usually stores repres...
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10/24/2022
Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup
Mixup is a data augmentation technique that relies on training using ran...
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10/21/2022
The sequence reconstruction problem for permutations with the Hamming distance
V. Levenshtein first proposed the sequence reconstruction problem in 200...
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10/20/2022
Slippage-robust Gaze Tracking for Near-eye Display
In recent years, head-mounted near-eye display devices have become the k...
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10/20/2022
Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering
Collaborative filtering (CF) models easily suffer from popularity bias, ...
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10/07/2022
Understanding Edge-of-Stability Training Dynamics with a Minimalist Example
Recently, researchers observed that gradient descent for deep neural net...
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10/06/2022
Vision-Based Defect Classification and Weight Estimation of Rice Kernels
Rice is one of the main staple food in many areas of the world. The qual...
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10/03/2022
Plateau in Monotonic Linear Interpolation – A "Biased" View of Loss Landscape for Deep Networks
Monotonic linear interpolation (MLI) - on the line connecting a random i...
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07/26/2022
Equivariant and Invariant Grounding for Video Question Answering
Video Question Answering (VideoQA) is the task of answering the natural ...
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07/24/2022
MAR: Masked Autoencoders for Efficient Action Recognition
Standard approaches for video recognition usually operate on the full in...
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07/18/2022
MLGOPerf: An ML Guided Inliner to Optimize Performance
For the past 25 years, we have witnessed an extensive application of Mac...
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06/18/2022
Context-aware Proposal Network for Temporal Action Detection
This technical report presents our first place winning solution for temp...
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06/16/2022
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning
Leading graph contrastive learning (GCL) methods perform graph augmentat...
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06/06/2022
Invariant Grounding for Video Question Answering
Video Question Answering (VideoQA) is the task of answering questions ab...
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06/01/2022
CrossCBR: Cross-view Contrastive Learning for Bundle Recommendation
Bundle recommendation aims to recommend a bundle of related items to use...
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05/31/2022
Differentiable Invariant Causal Discovery
Learning causal structure from observational data is a fundamental chall...
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05/30/2022
Benchmarking Unsupervised Anomaly Detection and Localization
Unsupervised anomaly detection and localization, as of one the most prac...
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05/24/2022
Construction and analysis of the quadratic finite volume methods on tetrahedral meshes
A family of quadratic finite volume method (FVM) schemes are constructed...
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05/03/2022
Copy Motion From One to Another: Fake Motion Video Generation
One compelling application of artificial intelligence is to generate a v...
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05/02/2022
A Novel Speech-Driven Lip-Sync Model with CNN and LSTM
Generating synchronized and natural lip movement with speech is one of t...
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04/26/2022
Cross Pairwise Ranking for Unbiased Item Recommendation
Most recommender systems optimize the model on observed interaction data...
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04/23/2022
Reinforced Causal Explainer for Graph Neural Networks
Explainability is crucial for probing graph neural networks (GNNs), answ...
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04/19/2022
Rumor Detection with Self-supervised Learning on Texts and Social Graph
Rumor detection has become an emerging and active research field in rece...
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03/29/2022
Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimation
Multi-frame human pose estimation has long been a compelling and fundame...
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01/30/2022
Discovering Invariant Rationales for Graph Neural Networks
Intrinsic interpretability of graph neural networks (GNNs) is to find a ...
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01/21/2022
Deconfounding to Explanation Evaluation in Graph Neural Networks
Explainability of graph neural networks (GNNs) aims to answer “Why the G...
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01/14/2022
Training Free Graph Neural Networks for Graph Matching
We present TFGM (Training Free Graph Matching), a framework to boost the...
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01/07/2022
On the Effectiveness of Sampled Softmax Loss for Item Recommendation
Learning objectives of recommender models remain largely unexplored. Mos...
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12/30/2021