Ishan Misra
51 papers · 2015–2026 · 8 venues · across top CS/AI venues
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Computer Vision
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Machine Learning
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Deep Learning
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Learning Types Β· Machine Learning
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Analysis
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Artificial Intelligence
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self-supervised learning
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representation learning
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object detection
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semantic segmentation
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contrastive learning
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multimodal learning
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image classification
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zero-shot learning
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transfer learning
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point cloud
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unsupervised learning
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instance segmentation
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action recognition
(3)
vision transformer
(3)
semi-supervised learning
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diffusion model
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video understanding
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image generation
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audio-visual learning
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convolutional neural network
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Papers
Toward Diffusible High-Dimensional Latent Spaces: A Frequency Perspective
CVPR 2026
Generating Multi-Image Synthetic Data for Text-to-Image Customization
ICCV 2025
LLMs can see and hear without any training
ICML 2025
Factorizing Text-to-Video Generation by Explicit Image Conditioning
ECCV 2024
FlowVid: Taming Imperfect Optical Flows for Consistent Video-to-Video Synthesis
CVPR 2024
Generating Illustrated Instructions
CVPR 2024
InstanceDiffusion: Instance-level Control for Image Generation
CVPR 2024
VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation
CVPR 2024
Cut and Learn for Unsupervised Object Detection and Instance Segmentation
CVPR 2023
GeneCIS: A Benchmark for General Conditional Image Similarity
CVPR 2023
ImageBind: One Embedding Space To Bind Them All
CVPR 2023
Learning Video Representations From Large Language Models
CVPR 2023
MonoNeRF: Learning Generalizable NeRFs from Monocular Videos without Camera Poses
ICML 2023
MOST: Multiple Object Localization with Self-Supervised Transformers for Object Discovery
ICCV 2023
OmniMAE: Single Model Masked Pretraining on Images and Videos
CVPR 2023
RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data
ICLR 2023
Self-Supervised Learning From Images With a Joint-Embedding Predictive Architecture
CVPR 2023
The Effectiveness of MAE Pre-Pretraining for Billion-Scale Pretraining
ICCV 2023
The hidden uniform cluster prior in self-supervised learning
ICLR 2023
A Data-Augmentation Is Worth A Thousand Samples: Analytical Moments And Sampling-Free Training
NeurIPS 2022
Detecting Twenty-Thousand Classes Using Image-Level Supervision
ECCV 2022
Frame Averaging for Invariant and Equivariant Network Design
ICLR 2022
Masked-Attention Mask Transformer for Universal Image Segmentation
CVPR 2022
Masked Siamese Networks for Label-Efficient Learning
ECCV 2022
Omnivore: A Single Model for Many Visual Modalities
CVPR 2022
3D Spatial Recognition Without Spatially Labeled 3D
CVPR 2021
An End-to-End Transformer Model for 3D Object Detection
ICCV 2021
Audio-Visual Instance Discrimination with Cross-Modal Agreement
CVPR 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
ICML 2021
Emerging Properties in Self-Supervised Vision Transformers
ICCV 2021
Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers
NeurIPS 2021
MDETR - Modulated Detection for End-to-End Multi-Modal Understanding
ICCV 2021
Robust Audio-Visual Instance Discrimination
CVPR 2021
Self-Supervised Pretraining of 3D Features on Any Point-Cloud
ICCV 2021
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments With Support Samples
ICCV 2021
Space-Time Crop & Attend: Improving Cross-Modal Video Representation Learning
ICCV 2021
ClusterFit: Improving Generalization of Visual Representations
CVPR 2020
In Defense of Grid Features for Visual Question Answering
CVPR 2020
Self-Supervised Learning of Pretext-Invariant Representations
CVPR 2020
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
NeurIPS 2020
3D-RelNet: Joint Object and Relational Network for 3D Prediction
ICCV 2019
Scaling and Benchmarking Self-Supervised Visual Representation Learning
ICCV 2019
Learning by Asking Questions
CVPR 2018
Proceedings of the First Workshop on Storytelling
NAACL 2018
Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection
ICCV 2017
From Red Wine to Red Tomato: Composition With Context
CVPR 2017
Cross-Stitch Networks for Multi-Task Learning
CVPR 2016
Generating Natural Questions About an Image
ACL 2016
Seeing Through the Human Reporting Bias: Visual Classifiers From Noisy Human-Centric Labels
CVPR 2016
Visual Storytelling
NAACL 2016
Watch and Learn: Semi-Supervised Learning for Object Detectors From Video
CVPR 2015