← Authors

Christoph Feichtenhofer

46 papers · 2014–2025 · 8 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (11) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (64) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏠 Conference Loyalist (22) πŸ”¬ Deep Specialist (12) 🀝 Dynamic Duo (15) πŸ‘‘ Triple Crown 🧬 Topic Evolution πŸ‘₯ Mega-Team (85) πŸ† Keyword Champion πŸ—ƒοΈ Keyword Collector (172) πŸ“ˆ Trend Setter ❓ The Questioner ⚑ Prolific Year (9) πŸ’Ž Century Club (46) πŸ”₯ Unstoppable (12)

Conferences

CVPR (22) ICCV (9) NIPS (6) ICLR (4) EMNLP (2) ACL (1) ICML (1) IJCNLP (1)

Top co-authors

haoqi fan (15) Jitendra Malik (11) Yanghao Li (11) Po-Yao Huang (10) Hu Xu (9) Chao-Yuan Wu (9) Axel Pinz (8) Gargi Ghosh (7) Luke Zettlemoyer (6) Bo Xiong (6)

Keywords

video understanding (12) video recognition (8) action recognition (7) vision transformer (7) self-supervised learning (7) convolutional neural network (6) representation learning (5) masked autoencoder (5) image classification (5) contrastive learning (4) temporal modeling (3) video classification (3) spatiotemporal feature (3) video analysis (3) transfer learning (3) video action recognition (3) 3d pose estimation (2) zero-shot learning (2) multiview learning (2) model compression (2)

Papers

An Empirical Study of Autoregressive Pre-training from Videos ICCV 2025
SAM 2: Segment Anything in Images and Videos ICLR 2025
Demystifying CLIP Data ICLR 2024
Altogether: Image Captioning via Re-aligning Alt-text EMNLP 2024
Window Attention is Bugged: How not to Interpolate Position Embeddings ICLR 2024
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles ICML 2023
Token Merging: Your ViT But Faster ICLR 2023
Diffusion Models as Masked Autoencoders ICCV 2023
The Effectiveness of MAE Pre-Pretraining for Billion-Scale Pretraining ICCV 2023
CiT: Curation in Training for Effective Vision-Language Data ICCV 2023
Multiview Compressive Coding for 3D Reconstruction CVPR 2023
Scaling Language-Image Pre-Training via Masking CVPR 2023
On the Benefits of 3D Pose and Tracking for Human Action Recognition CVPR 2023
MAViL: Masked Audio-Video Learners NIPS 2023
A ConvNet for the 2020s CVPR 2022
TrackFormer: Multi-Object Tracking With Transformers CVPR 2022
Ego4D: Around the World in 3,000 Hours of Egocentric Video CVPR 2022
Masked Autoencoders As Spatiotemporal Learners NIPS 2022
Masked Autoencoders that Listen NIPS 2022
MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition CVPR 2022
Reversible Vision Transformers CVPR 2022
Masked Feature Prediction for Self-Supervised Visual Pre-Training CVPR 2022
MViTv2: Improved Multiscale Vision Transformers for Classification and Detection CVPR 2022
VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding IJCNLP 2021
Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers NIPS 2021
VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding ACL 2021
A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning CVPR 2021
VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding EMNLP 2021
Multiscale Vision Transformers ICCV 2021
Multiview Pseudo-Labeling for Semi-Supervised Learning From Video ICCV 2021
X3D: Expanding Architectures for Efficient Video Recognition CVPR 2020
Ego-Topo: Environment Affordances From Egocentric Video CVPR 2020
A Multigrid Method for Efficiently Training Video Models CVPR 2020
Learning Temporal Pose Estimation from Sparsely-Labeled Videos NIPS 2019
3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training CVPR 2019
Long-Term Feature Banks for Detailed Video Understanding CVPR 2019
SlowFast Networks for Video Recognition ICCV 2019
Grounded Human-Object Interaction Hotspots From Video ICCV 2019
What Have We Learned From Deep Representations for Action Recognition? CVPR 2018
Detect to Track and Track to Detect ICCV 2017
Temporal Residual Networks for Dynamic Scene Recognition CVPR 2017
Spatiotemporal Multiplier Networks for Video Action Recognition CVPR 2017
Convolutional Two-Stream Network Fusion for Video Action Recognition CVPR 2016
Spatiotemporal Residual Networks for Video Action Recognition NIPS 2016
Dynamically Encoded Actions Based on Spacetime Saliency CVPR 2015
Bags of Spacetime Energies for Dynamic Scene Recognition CVPR 2014